Khan Siddiqui, M.D., founder and CEO of HOPPR, discusses the economic advantages and costs presented by artificial intelligence (AI) applications in radiology, as well as potential strategies for healthcare providers looking to add AI to their armamentarium, at the 2019 Society of Imaging Informatics in Medicine (SIIM) annual meeting.
Videos | Breast Density | May 20, 2016
Breast Cancer Awareness - Highlights of the NCoBC 2016 Conference
This year's keynote speaker, Nancy M. Cappello, Ph.D., founder and director of Are You Dense and Are You Dense Advocacy, Inc., expands on her keynote presentation "Why I Talk to Strangers About My Breasts."
Recent Videos View all 588 items
Digital Pathology | July 11, 2019
Toby Cornish, M.D., Ph.D., associate professor and medical director of informatics at the University of Colorado School of Medicine, explains how the subspecialty of digital pathology has evolved in recent years, the benefits of integrating pathology and radiology, and how artificial intelligence (AI) may smooth the transition, at the 2019 Society of Imaging Informatics in Medicine (SIIM) annual meeting.
Enterprise Imaging | July 09, 2019
ITN Associate Editor Jeff Zagoudis speaks with Don Dennison, healthcare IT consultant and Chris Roth, M.D., associate professor of radiology, vice chair, information technology and clinical informatics, and director of imaging informatics strategy at Duke University Medical Center, about how to find the right people to deploy a successful enterprise imaging strategy.
Watch part 1 of the interview at the 2019 Society for Imaging Informatics in Medicine (SIIM) conference.
Enterprise Imaging | July 08, 2019
ITN Associate Editor Jeff Zagoudis speaks with Don Dennison, healthcare IT consultant and Chris Roth, M.D., associate professor of radiology, vice chair, information technology and clinical informatics, and director of imaging informatics strategy at Duke University Medical Center, about how to find the right people to deploy a successful enterprise imaging strategy.
Artificial Intelligence | July 03, 2019
Sudhen Desai, M.D., FSIR, interventional radiologist at Texas Children's Hospital, editor of IR Quarterly for the Society of Interventional Radiology (SIR) and on the Board of Directors for the Society of Physician Entrepreneurs, explained how artificial intelligence (AI) can assist in pediatric imaging and the pitfalls of training AI systems. He spoke at the 2019 Radiology AIMed conference.
Deep learning algorithms require large amounts of patient case data to train the systems to read medical imagines automatically without human intervention. However, in pediatrics, there are often much lower numbers of normal and abnormal scans that can be used compared to vast amounts of adult exams available. This makes it difficult to train systems, so AI developers are coming up with innovative new ways to train their software. Compounding issues with training pediatric imaging AI is that the normal ranges change very quickly for young children due to their rapid development. He explained what is normal for a 2-year-old may not be normal for a 5-year-old.
Desai and other pediatric physicians who spoke at the conference said AI could have a big impact on pediatric imaging where there are not enough specialities for the increasing image volumes.
Related content:
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice — Interview with Lawrence Tanenbaum, M.D.
VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice
Interventional Radiology | June 26, 2019
Kevin Seals, M.D., University of California San Francisco (UCSF) Health, interventional radiology fellow, is working on a research project using smart speakers such as the Amazon Echo and Google Home to create a new method for accessing information on device technologies in real time in the interventional radiology (IR) lab. Operators can use the conversational voice interface to retrieve information without breaking sterile scrub. The technology uses using natural language processing (NLP) and machine learning to rapidly provide information about device sizing and compatibility in IR.
Seals spoke at the 2019 Radiology AIMed conference in Chicago in June.
Related content:
Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care
Smart Speaker Technology Harnessed for Hospital Medical Treatments
Artificial Intelligence | June 26, 2019
Nina Kottler, M.D., vice president of clinical operations, Radiology Partners, explains how the company developed its own artificial intelligence (AI) application to check the accuracy of radiologists' reports as they dictated and to follow-up automatically on incidental findings. She spoke at the 2019 Radiology AIMed conference.
She said the AI sits on top of Radiology Partners' natural language processing application and will immediately flag any comments that do not appear to make sense or might need clarification. Instead of forcing radiologists to change their workflow to create structured reports, Kottler said this AI software helps adapt the existing workflow to make the reports more consistent and able to be data mined later.
Related content:
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice — Interview with Lawrence Tanenbaum, M.D.
VIDEO: Artificial Intelligence May Assist in Pediatric Imaging — Interview with Sudhen Desai, M.D.
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice
Artificial Intelligence | June 21, 2019
Lawrence Tanenbaum, M.D., Radnet vice president and chief technology officer, discusses some of the artificial intelligence (AI) products in radiology that are now commercially available and how AI developments will impact PET, MRI and CT imaging. He spoke at the 2019 Radiology AI-Med conference.
He said AI is helping medical imaging in the following areas:
• Identify urgent findings and flagging these on the top of worklists.
• Computer aided detection capabilities that go beyond the traditional to improve efficiency, boost diagnosis and highlight unexpected findings.
• Improving diagnostic image reconstruction
• Tools to enhance the speed, resolution, radiation dose and overall quality of advanced imaging.
Learn more about what AI tools vendors are developing to help medical imaging in the following links:
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Editor’s Choice of the Most Innovative New Artificial Intelligence Technologies at RSNA 2018
VIDEO: Artificial Intelligence May Assist in Pediatric Imaging — Interview with Sudhen Desai, M.D.
VIDEO: Editor's Choice of the Most Innovative New Technology at RSNA 2018
VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.
VIDEO: RSNA Post-game Report on Artificial Intelligence
VIDEO: AI, Analytics and Informatics: The Future is Here — Interview with Michael Recht, M.D.
Sponsored Videos View all 142 items
Radiation Oncology | May 13, 2019
At ASTRO 2018, Accuray showcased new patient-first innovations, including motion synchronization on Radixact, and the new CK VoLO, a fast optimizer on the CyberKnife system. Andrew Delao, senior director of marketing for Accuray, highlights the new features.
Related content:
itnTV "Conversations": The Accuray Philosophy
Enterprise Imaging | April 26, 2019
CarolinaEast Health System, an award-winning health system in New Bern, N.C., was one of the first to collaborate with Philips to implement IntelliSpace Enterprise Edition, a comprehensive managed service. Watch the video to see how we collaborated together to streamline workflows and improve interoperability for better care.
Watch the related editorial interview VIDEO: Streamlining PACS Administration — Interview with Mike Ciancio, imaging systems administrator at CarolinaEast Health System.
Information Technology | April 17, 2019
With Intellispace Enterprise Edition as the foundation, Philips Healthcare is connecting facilities and service areas within enterprises, while developing standards-based interoperability that preserves customers' investments and best of breed systems.
Information Technology | April 15, 2019
Vital Images has developed a strategy that allows its customers to capture revenues that are otherwise missed while building the infrastructure for the future. In an interview with itnTV, Vital Images executives Larry Sitka and Geoffrey Clemmons describe how the company has reconciled this vision of the future with near-term realities.
Artificial Intelligence | April 02, 2019
Advanced Visualization | April 01, 2019
GE Healthcare goes beyond core equipment maintenance to help clients solve some of their most important asset and clinical performance challenges through digital solutions.
Artificial Intelligence | March 28, 2019
At RSNA 2018, GE launched a new brand that covers AI. The company showed several works-in-progress -- a critical care suite of algorithms and experimental applications for brain MR. Each is being built on GE's Edison Platform.
Enterprise Imaging | March 27, 2019
GE Healthcare Centricity Clinical Archive (CCA) Analytics, shown at RSNA 2018, works directly with the vendor neutral archive (VNA), allowing users to evaluate clinical, financial and operational processes across the healthcare system. The analytics solution shows how all of the different components of the archive and all of the imaging sources — departments, facilities and modalities — are working across the enterprise.
Technology Reports View all 9 items
Artificial Intelligence | January 15, 2019
In Artificial Intelligence 2018: What Radiologists Need to Know About AI, ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence (AI) advances at the Radiological Society of North America (RSNA) 2018 annual meeting.
Related Artificial Intelligence Content
Technology Report: Artificial Intelligence 2017
VIDEO: RSNA Post-game Report on Artificial Intelligence
VIDEO: AI in Tumor Diagnostics, Treatment and Follow-up
VIDEO: Artificial Intelligence May Help Reduce Gadolinium Dose in MRI
Enterprise Imaging | January 14, 2019
In Enterprise Imaging 2018: Balancing Strategy and Technology in Enterprise Imaging, ITN Contributing Editor Greg Freiherr offers an overview of enterprise imaging advances at the Radiological Society of North America (RSNA) 2018 annual meeting.
Related Enterprise Imaging Content:
RSNA Technology Report 2017: Enterprise Imaging
VIDEO: Building An Effective Enterprise Imaging Strategy
Five Steps for Better Diagnostic Image Management
VIDEO: Enterprise Imaging and the Digital Imaging Adoption Model
Enterprise Imaging to Account for 27 Percent of Imaging Market
VIDEO: Defining Enterprise Imaging — The HIMSS-SIIM Enterprise Imaging Workgroup
Radiation Therapy | December 06, 2018
Radiation therapy has become increasingly effective and safe as vendors continue to innovate technologies that benefit the patient. At ASTRO 2018, this patient-centric approach was exemplified and demonstrated not only in ways that match treatments to patients, but in how technologies can adjust to patient movement and anatomical changes, and to increase the precision of treatments. ITN Contributing Editor Greg Freiherr showcases several new technologies that are helping to advance this field.
For additional patient-centered care coverage, see:
Technology Reports | April 01, 2018
ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence advances at the Radiological Society of North America (RSNA) 2017 annual meeting. AI was by far the hottest topic in sessions and on the expo floor at RSNA 2017. Here are links to related deep learning, machine learning coverage:
Why AI By Any Name Is Sweet For Radiology
Value in Radiology Takes on Added Depth at RSNA 2017
VIDEO: Key Imaging Technology Trends at RSNA 2017
VIDEO: Deep Learning is Key Technology Trend at RSNA 2017
VIDEO: Machine Learning and the Future of Radiology
VIDEO: Expanding Role for Artificial Intelligence in Medical Imaging
Digital Radiography (DR) | October 05, 2016
Contributing Editor Greg Freiherr offers an overview of digital radiography (DR) advances at the Association for Medical Imaging Management (AHRA) 2016 meeting. Read the article “The Coming Push for DR.” Watch a technology report sidebar video on new DR Systems technology.
Digital Radiography (DR) | October 05, 2016
Agfa highlights how its digital radiography (DR) systems capture analytics data to help improve management of the radiology department, show ROI on DR investments, and explains how its image processing software works. Read the article “The Coming Push for DR.” Watch the video “Technology Report: DR Systems.”
Magnetic Resonance Imaging (MRI) | January 08, 2016
Contributing Editor Greg Freiherr offers an overview of magnetic resonance imaging (MRI) advances at the Radiological Society of North America (RSNA) 2015. Below is related MRI content:
RSNA Technology Report 2015: Magnetic Resonance Imaging
Recent Advances in MRI Technology
Software Advances in MRI Technology
Advances in Cardiac Imaging at RSNA 2016
Recent Trends and Developments in Contrast Media
Comparison Chart: MRI Wide Bore Systems
(chart access will require a login, but is free and only takes a minute to register)
Comparison Chart: MRI Contrast Agents
(chart access will require a login, but is free and only takes a minute to register)
Comparison Chart: Cardiovascular MRI Analysis Software
(chart access will require a login, but is free and only takes a minute to register)
Computed Tomography (CT) | January 08, 2016
Contributing Editor Greg Freiherr offers an overview of computed tomography (CT) advances at the Radiological Society of North America (RSNA) 2015. The video includes Freiherr during his booth tours with some of the key vendors who were featuring new technology.
Conference Coverage View all 373 items
Artificial Intelligence | July 12, 2019
Khan Siddiqui, M.D., founder and CEO of HOPPR, discusses the economic advantages and costs presented by artificial intelligence (AI) applications in radiology, as well as potential strategies for healthcare providers looking to add AI to their armamentarium, at the 2019 Society of Imaging Informatics in Medicine (SIIM) annual meeting.
Digital Pathology | July 11, 2019
Toby Cornish, M.D., Ph.D., associate professor and medical director of informatics at the University of Colorado School of Medicine, explains how the subspecialty of digital pathology has evolved in recent years, the benefits of integrating pathology and radiology, and how artificial intelligence (AI) may smooth the transition, at the 2019 Society of Imaging Informatics in Medicine (SIIM) annual meeting.
Enterprise Imaging | July 09, 2019
ITN Associate Editor Jeff Zagoudis speaks with Don Dennison, healthcare IT consultant and Chris Roth, M.D., associate professor of radiology, vice chair, information technology and clinical informatics, and director of imaging informatics strategy at Duke University Medical Center, about how to find the right people to deploy a successful enterprise imaging strategy.
Watch part 1 of the interview at the 2019 Society for Imaging Informatics in Medicine (SIIM) conference.
Enterprise Imaging | July 08, 2019
ITN Associate Editor Jeff Zagoudis speaks with Don Dennison, healthcare IT consultant and Chris Roth, M.D., associate professor of radiology, vice chair, information technology and clinical informatics, and director of imaging informatics strategy at Duke University Medical Center, about how to find the right people to deploy a successful enterprise imaging strategy.
Artificial Intelligence | July 03, 2019
Sudhen Desai, M.D., FSIR, interventional radiologist at Texas Children's Hospital, editor of IR Quarterly for the Society of Interventional Radiology (SIR) and on the Board of Directors for the Society of Physician Entrepreneurs, explained how artificial intelligence (AI) can assist in pediatric imaging and the pitfalls of training AI systems. He spoke at the 2019 Radiology AIMed conference.
Deep learning algorithms require large amounts of patient case data to train the systems to read medical imagines automatically without human intervention. However, in pediatrics, there are often much lower numbers of normal and abnormal scans that can be used compared to vast amounts of adult exams available. This makes it difficult to train systems, so AI developers are coming up with innovative new ways to train their software. Compounding issues with training pediatric imaging AI is that the normal ranges change very quickly for young children due to their rapid development. He explained what is normal for a 2-year-old may not be normal for a 5-year-old.
Desai and other pediatric physicians who spoke at the conference said AI could have a big impact on pediatric imaging where there are not enough specialities for the increasing image volumes.
Related content:
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice — Interview with Lawrence Tanenbaum, M.D.
VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice
Interventional Radiology | June 26, 2019
Kevin Seals, M.D., University of California San Francisco (UCSF) Health, interventional radiology fellow, is working on a research project using smart speakers such as the Amazon Echo and Google Home to create a new method for accessing information on device technologies in real time in the interventional radiology (IR) lab. Operators can use the conversational voice interface to retrieve information without breaking sterile scrub. The technology uses using natural language processing (NLP) and machine learning to rapidly provide information about device sizing and compatibility in IR.
Seals spoke at the 2019 Radiology AIMed conference in Chicago in June.
Related content:
Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care
Smart Speaker Technology Harnessed for Hospital Medical Treatments
Artificial Intelligence | June 26, 2019
Nina Kottler, M.D., vice president of clinical operations, Radiology Partners, explains how the company developed its own artificial intelligence (AI) application to check the accuracy of radiologists' reports as they dictated and to follow-up automatically on incidental findings. She spoke at the 2019 Radiology AIMed conference.
She said the AI sits on top of Radiology Partners' natural language processing application and will immediately flag any comments that do not appear to make sense or might need clarification. Instead of forcing radiologists to change their workflow to create structured reports, Kottler said this AI software helps adapt the existing workflow to make the reports more consistent and able to be data mined later.
Related content:
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice — Interview with Lawrence Tanenbaum, M.D.
VIDEO: Artificial Intelligence May Assist in Pediatric Imaging — Interview with Sudhen Desai, M.D.
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice
Artificial Intelligence | June 21, 2019
Lawrence Tanenbaum, M.D., Radnet vice president and chief technology officer, discusses some of the artificial intelligence (AI) products in radiology that are now commercially available and how AI developments will impact PET, MRI and CT imaging. He spoke at the 2019 Radiology AI-Med conference.
He said AI is helping medical imaging in the following areas:
• Identify urgent findings and flagging these on the top of worklists.
• Computer aided detection capabilities that go beyond the traditional to improve efficiency, boost diagnosis and highlight unexpected findings.
• Improving diagnostic image reconstruction
• Tools to enhance the speed, resolution, radiation dose and overall quality of advanced imaging.
Learn more about what AI tools vendors are developing to help medical imaging in the following links:
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Editor’s Choice of the Most Innovative New Artificial Intelligence Technologies at RSNA 2018
VIDEO: Artificial Intelligence May Assist in Pediatric Imaging — Interview with Sudhen Desai, M.D.
VIDEO: Editor's Choice of the Most Innovative New Technology at RSNA 2018
VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.
VIDEO: RSNA Post-game Report on Artificial Intelligence
VIDEO: AI, Analytics and Informatics: The Future is Here — Interview with Michael Recht, M.D.
Radiation Oncology View all 81 items
Radiation Therapy | May 21, 2019
This is a walk through of the ViewRay MRIdian MRI-guided radiotherapy system installed at Henry Ford Medical Center — Cottage. The system has been in service for about two years. The walk through shows the entry way into the vault and the warnings about entering an MRI environment. Anyone who enters the treatment room must undergo a metal detector scan first to make sure all ferrous metal is removed.
Read more about the center's first year experience with the system.
Radiation Oncology | May 13, 2019
At ASTRO 2018, Accuray showcased new patient-first innovations, including motion synchronization on Radixact, and the new CK VoLO, a fast optimizer on the CyberKnife system. Andrew Delao, senior director of marketing for Accuray, highlights the new features.
Related content:
itnTV "Conversations": The Accuray Philosophy
Cardio-oncology | March 22, 2019
Magid Awadalla, MBBS, is an advanced cardiac imaging research fellow at Massachusetts General Hospital. He has been involved in an imaging study of cardiac changes from photon radiotherapy in breast cancer patients using serial cardiac magnetic resonance imaging (MRI). The radiotherapy beams used to treat breast cancer pass close to the neighboring heart, which can cause cardiac cell damage leading to issues like heart failure later on. He spoke on the topic of cardio-oncology at the American College of Cardiology (ACC) 2019 meeting.
Proton Therapy | March 01, 2019
ITN Associate Editor Jeff Zagoudis speaks with Mark Pankuch, Ph.D., director of physics and dosimetry at the Northwestern Medicine Chicago Proton Center, about the differences between proton and photon radiotherapy and his daily operations at the Warrenville, Ill. center.
Proton Therapy | February 28, 2019
ITN Associate Editor Jeff Zagoudis speaks with Bill Hartsell, M.D., medical director at the Northwestern Medicine Chicago Proton Center, about operating costs, reimbursement and other financial aspects of proton therapy.
Watch the VIDEO: Proton Therapy Treatment at Northwestern Medicine, part 1 of the interview with Hartsell.
Artificial Intelligence | February 27, 2019
Here is an example of new artificial intelligence (AI) driven health information systems that aim to improve efficiency, speed workflow and make finding relevant patient data fast. This is the Philips Intellispace Oncology software displayed at the Healthcare Information Management and Systems Society (HIMSS) 2019 meeting. This dash board page for a cancer patient offers a great overview on a single screen so physicians do not have to do a lot of clicking around to find what they need.
The top of the screen has a timeline showing all patient encounters related to their cancer, including imaging exams, labs, pathology, procedures, etc. All are clickable and show a small pop-up box with a key image and brief description, and a link to the full set of images and the full report. Other boxes on the screen help organize the relevant patient data into easily digestible bits with links to full reports or areas of the patient record. An analytics button at the bottom of the page opens a window showing charts for things like tumor follow-up assessments to quickly show if the patient is responding to treatment.
Look through a photo gallery of other new technologies at HIMSS19.
Find other news and video from HIMSS 2019.
Proton Therapy | February 26, 2019
ITN Associate Editor Jeff Zagoudis speaks with Bill Hartsell, M.D., medical director at the Northwestern Medicine Chicago Proton Center, about day-to-day operations and cutting-edge treatments at the Warrenville, Ill. center.
Radiation Therapy | February 21, 2019
ITN Associate Editor Jeff Zagoudis speaks with Christy Kesslering, M.D., medical director of radiation oncology at the Northwestern Medicine Cancer Center, about the different radiation therapy options for breast cancer patients offered at the center.
Watch the VIDEOs Advancements in Radiation Therapy for Brain Cancer and Multidisciplinary Treatment of Brain Tumors with Vinai Gondi, M.D., director of research and CNS neuro-oncology at the Northwestern Medicine Cancer Center.
Radiology Imaging View all 269 items
Artificial Intelligence | July 03, 2019
Sudhen Desai, M.D., FSIR, interventional radiologist at Texas Children's Hospital, editor of IR Quarterly for the Society of Interventional Radiology (SIR) and on the Board of Directors for the Society of Physician Entrepreneurs, explained how artificial intelligence (AI) can assist in pediatric imaging and the pitfalls of training AI systems. He spoke at the 2019 Radiology AIMed conference.
Deep learning algorithms require large amounts of patient case data to train the systems to read medical imagines automatically without human intervention. However, in pediatrics, there are often much lower numbers of normal and abnormal scans that can be used compared to vast amounts of adult exams available. This makes it difficult to train systems, so AI developers are coming up with innovative new ways to train their software. Compounding issues with training pediatric imaging AI is that the normal ranges change very quickly for young children due to their rapid development. He explained what is normal for a 2-year-old may not be normal for a 5-year-old.
Desai and other pediatric physicians who spoke at the conference said AI could have a big impact on pediatric imaging where there are not enough specialities for the increasing image volumes.
Related content:
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice — Interview with Lawrence Tanenbaum, M.D.
VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice
Artificial Intelligence | June 21, 2019
Lawrence Tanenbaum, M.D., Radnet vice president and chief technology officer, discusses some of the artificial intelligence (AI) products in radiology that are now commercially available and how AI developments will impact PET, MRI and CT imaging. He spoke at the 2019 Radiology AI-Med conference.
He said AI is helping medical imaging in the following areas:
• Identify urgent findings and flagging these on the top of worklists.
• Computer aided detection capabilities that go beyond the traditional to improve efficiency, boost diagnosis and highlight unexpected findings.
• Improving diagnostic image reconstruction
• Tools to enhance the speed, resolution, radiation dose and overall quality of advanced imaging.
Learn more about what AI tools vendors are developing to help medical imaging in the following links:
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Editor’s Choice of the Most Innovative New Artificial Intelligence Technologies at RSNA 2018
VIDEO: Artificial Intelligence May Assist in Pediatric Imaging — Interview with Sudhen Desai, M.D.
VIDEO: Editor's Choice of the Most Innovative New Technology at RSNA 2018
VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.
VIDEO: RSNA Post-game Report on Artificial Intelligence
VIDEO: AI, Analytics and Informatics: The Future is Here — Interview with Michael Recht, M.D.
Radiation Therapy | May 21, 2019
This is a walk through of the ViewRay MRIdian MRI-guided radiotherapy system installed at Henry Ford Medical Center — Cottage. The system has been in service for about two years. The walk through shows the entry way into the vault and the warnings about entering an MRI environment. Anyone who enters the treatment room must undergo a metal detector scan first to make sure all ferrous metal is removed.
Read more about the center's first year experience with the system.
Magnetic Resonance Imaging (MRI) | May 21, 2019
This is a quick look inside the magnetic resonance imaging (MRI) neuro-interventional suite at Henry Ford Hospital in Detriot, Mich. This neuro-procedure room connects through a door to a traditional operating room and the patient can be transferred using a trolley cot system to move between the two rooms. The MRI is a Philips 1.5T Achieva and the MRI suite includes MRI-safe surgical instruments, furniture and anesthesia system.
Find more Henry Ford Hospital related content.
Digital Radiography (DR) | May 20, 2019
This is a quick walk-around video showing the Siemens Healthineers Multix Impact digital radiography (DR) room X-ray system at RSNA 2018. The system offers an intuitive operating system to help improve productivity. The in-room touch user interface on the tube allows the technologist to remain at the patient’s side. And when unable to be at the patient’s side, the technologist is able to monitor and optimize positioning from the control room via the system’s patient positioning camera, potentially reducing repeat imaging and unnecessary patient dose. Lights at the top of the X-ray system automatically indicate it the patient anatomy is aligned properly with the exam type the technologist chose for optimal imaging to reduce the need for retakes.
The Multix Impact also offers an intuitive user interface and graphical organ program selection. The positioning guide display on both the in-room touch user interface and the workstation supports precise, consistent patient positioning. Advanced motorization and tracking reduce the physical exertion of technologists and help prevent repetitive stress injuries.
Advanced Visualization | May 16, 2019
This is an example of how virtual reality is being used in neuro-radiology to better evaluate patients using advanced imaging. This dataset shows a patient's brain MRI with fused tractography imaging for pre-operative planning. This was part of a 2018 Radiological Society of North America (RSNA) hands-on session by Vinodh Kumar, M.D., and Komal Shah, M.D., associate professors of radiology at MD Anderson Cancer Center.
Watch the VIDEO: Using Virtual and Augmented Reality to Examine Brain Anatomy and Pathology — an interview with Vinodh Kumar, M.D., and Komal Shah, M.D.
Read the related article Virtual Reality Boosts Revenues and Patient Understanding.
Cardiac Imaging | April 26, 2019
Dee Dee Wang, M.D., director of structural heart imaging, Henry Ford Hospital, Detroit, Mich., explains how patient survival depends on keeping the left ventricular outflow track (LVOT) clear and using 3-D imaging to predict what the neo-LVOT will look like prior to transcatheter mitral valve replacement (TMVR) procedures. The close proximity between the aortic and mitral valves in the left ventricle anatomy makes it critical to assess any mitral valve overhang that will obstruct blood flow out of the left ventricle. This issue has been raised in several cardiovascular imaging structural heart intervention planning sessions at conferences over the past two years, most notably at the Society of Cardiovascular Computed Tomography (SCCT).
Read the related article Interventional Imagers: The Conductors of the Heart Team Orchestra, which Wang helped author.
Watch the related VIDEO: Overview of the Henry Ford Hospital Structural Heart Program.
Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, Diana Miglioretti, Ph.D., dean’s professor of biostatistics at UC Davis Health, discussed risk-stratified breast cancer screening and its potential to improve the balance of screening benefits to harms by tailoring screening intensity and modality to individual risk factors.
Read the article "How Risk Stratification Might Affect Women’s Health"
Read the article "FDA Proposes New Rules for Mammography Reporting and Quality Improvement"
Watch the VIDEO: A Discussion on Proposed FDA Rules for Mammography Reporting
Molecular Imaging View all 21 items
Nuclear Imaging | March 22, 2019
Raza Alvi, M.D., a research fellow in radiology at Massachusetts General Hospital, has been involved in a study of a positron-emission tomography (PET) FDG radiotracer agent to image sarcoidosis. The inflammatory disease affects multiple organs and usually include abnormal masses or nodules (granulomas) consisting of inflamed tissues that can form in the heart. Alvi presented on this topic at American College of Cardiology (ACC) 2019 meeting.
Related Cardiac Sarcoidosis Content:
ASNC and SNMMI Release Joint Document on Diagnosis, Treatment of Cardiac Sarcoidosis
New PET-CT Scan Improves Detection in Rare Cardiac Condition
SPECT-CT | December 12, 2018
This is a walk around of the new Spectrum Dynamics Veriton SPECT-CT nuclear imaging system introduced at the 2018 Radiological Society of North America (RSNA) meeting.
This is a walk around of an innovative new SPECT-CT nuclear imaging system shown at the Radiological Society Of North America (RSNA) 2018 meeting this week. It's CT system with comes in 16, 64 or 128 slice configurations. It has 12 SPECT detector robotic arms that automatically move toward the patient and use a sensor to stop a few millimeters from the skin to optimize photon counts and SPECT image quality. It also uses more sensitive CZT digital detectors, which allows either faster scan times, or use of only half the radiotracer dose of analog detector scans.
Read the article “Nuclear Imaging Moves Toward Digital Detector Technology.”
Interventional Radiology | October 19, 2018
Scott Schwartz, M.D., interventional radiologist and program director for IR residencies and the vascular and interventional radiology fellowship at Henry Ford Hospital, explains how the department uses Yttrium-90 (Y90) embolization therapy to treat liver cancer.
Find more content on Henry Ford Hospital
Related Articles on Y-90 Radiotherapy:
Current Advances in Targeted Radionuclide Therapy
A Look Ahead in Targeted Radionuclide Therapy
Radioactive Bead Therapy Now Used for Head, Neck Tumors
NCCN Guidelines Recommend Y-90 Microspheres for Metastatic Colorectal Cancer Treatment
Nuclear Imaging | August 24, 2017
Prem Soman, M.D., director of nuclear cardiology at the Heart and Vascular Institute, University of Pittsburgh, and president-elect of the American Society of Nuclear Cardiology (ASNC), explained advances in PET and SPECT imaging and the learning curve involved in reading scans from the new CZT SPECT cameras. Watch the VIDEO: Trends in Nuclear Cardiology Imaging, an iknterview with David Wolinsky, M.D., director of nuclear cardiology at Cleveland Clinic Florida. Read the related article "Advances in Cardiac Nuclear Imaging."
Nuclear Imaging | August 24, 2017
Randy Thompson, M.D., attending cardiologist, St. Luke’s Mid-America Heart Institute, Kansas City, explains protocols and what to consider when working with the newer generation CZT-SPECT camera systems for nuclear cardiology. He spoke during the 2017 American Society of Nuclear Cardiology (ASNC) Today technology update meeting. Watch the related VIDEO "PET vs. SPECT in Nuclear Cardiology and Recent Advances in Technology." Read the related articles "Managing Dose in PET and SPECT Myocardial Perfusion Imaging," and "Advances in Cardiac Nuclear Imaging."
Clinical Decision Support | June 29, 2017
Rami Doukky, M.D., system chair, Division of Cardiology, professor of medicine, Cook County Health and Hospitals System, Chicago, discusses the new CMS requirements for clinical decision support (CDS) appropriate use criteria (AUC) documentation in cardiac imaging starting on Jan. 1, 2018. He spoke at the 2017 American Society of Nuclear Cardiology (ASNC) Today meeting. Read the article "CMS to Require Appropriate Use Criteria Documentation for Medical Imaging Orders."
Radiology Business | May 03, 2017
Kim A. Williams, Sr., M.D., chief of cardiology at Rush University Medical Center, Chicago and former president of both the American College of Cardiology (ACC) and the American Society of Nuclear Cardiology (ASNC), explains the impact of healthcare reform on cardiology and specifically on nuclear perfusion imaging.
Nuclear Imaging | April 28, 2017
David Wolinsky, M.D., director of nuclear cardiology at Cleveland Clinic Florida and past-president of the American Society of Nuclear Cardiology (ASNC), discusses advancements in nuclear imaging and some of the issues facing the subspecialty.
Information Technology View all 216 items
Artificial Intelligence | July 12, 2019
Khan Siddiqui, M.D., founder and CEO of HOPPR, discusses the economic advantages and costs presented by artificial intelligence (AI) applications in radiology, as well as potential strategies for healthcare providers looking to add AI to their armamentarium, at the 2019 Society of Imaging Informatics in Medicine (SIIM) annual meeting.
Digital Pathology | July 11, 2019
Toby Cornish, M.D., Ph.D., associate professor and medical director of informatics at the University of Colorado School of Medicine, explains how the subspecialty of digital pathology has evolved in recent years, the benefits of integrating pathology and radiology, and how artificial intelligence (AI) may smooth the transition, at the 2019 Society of Imaging Informatics in Medicine (SIIM) annual meeting.
Enterprise Imaging | July 09, 2019
ITN Associate Editor Jeff Zagoudis speaks with Don Dennison, healthcare IT consultant and Chris Roth, M.D., associate professor of radiology, vice chair, information technology and clinical informatics, and director of imaging informatics strategy at Duke University Medical Center, about how to find the right people to deploy a successful enterprise imaging strategy.
Watch part 1 of the interview at the 2019 Society for Imaging Informatics in Medicine (SIIM) conference.
Enterprise Imaging | July 08, 2019
ITN Associate Editor Jeff Zagoudis speaks with Don Dennison, healthcare IT consultant and Chris Roth, M.D., associate professor of radiology, vice chair, information technology and clinical informatics, and director of imaging informatics strategy at Duke University Medical Center, about how to find the right people to deploy a successful enterprise imaging strategy.
Artificial Intelligence | July 03, 2019
Sudhen Desai, M.D., FSIR, interventional radiologist at Texas Children's Hospital, editor of IR Quarterly for the Society of Interventional Radiology (SIR) and on the Board of Directors for the Society of Physician Entrepreneurs, explained how artificial intelligence (AI) can assist in pediatric imaging and the pitfalls of training AI systems. He spoke at the 2019 Radiology AIMed conference.
Deep learning algorithms require large amounts of patient case data to train the systems to read medical imagines automatically without human intervention. However, in pediatrics, there are often much lower numbers of normal and abnormal scans that can be used compared to vast amounts of adult exams available. This makes it difficult to train systems, so AI developers are coming up with innovative new ways to train their software. Compounding issues with training pediatric imaging AI is that the normal ranges change very quickly for young children due to their rapid development. He explained what is normal for a 2-year-old may not be normal for a 5-year-old.
Desai and other pediatric physicians who spoke at the conference said AI could have a big impact on pediatric imaging where there are not enough specialities for the increasing image volumes.
Related content:
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice — Interview with Lawrence Tanenbaum, M.D.
VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice
Interventional Radiology | June 26, 2019
Kevin Seals, M.D., University of California San Francisco (UCSF) Health, interventional radiology fellow, is working on a research project using smart speakers such as the Amazon Echo and Google Home to create a new method for accessing information on device technologies in real time in the interventional radiology (IR) lab. Operators can use the conversational voice interface to retrieve information without breaking sterile scrub. The technology uses using natural language processing (NLP) and machine learning to rapidly provide information about device sizing and compatibility in IR.
Seals spoke at the 2019 Radiology AIMed conference in Chicago in June.
Related content:
Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care
Smart Speaker Technology Harnessed for Hospital Medical Treatments
Artificial Intelligence | June 26, 2019
Nina Kottler, M.D., vice president of clinical operations, Radiology Partners, explains how the company developed its own artificial intelligence (AI) application to check the accuracy of radiologists' reports as they dictated and to follow-up automatically on incidental findings. She spoke at the 2019 Radiology AIMed conference.
She said the AI sits on top of Radiology Partners' natural language processing application and will immediately flag any comments that do not appear to make sense or might need clarification. Instead of forcing radiologists to change their workflow to create structured reports, Kottler said this AI software helps adapt the existing workflow to make the reports more consistent and able to be data mined later.
Related content:
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice — Interview with Lawrence Tanenbaum, M.D.
VIDEO: Artificial Intelligence May Assist in Pediatric Imaging — Interview with Sudhen Desai, M.D.
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice
Artificial Intelligence | June 21, 2019
Lawrence Tanenbaum, M.D., Radnet vice president and chief technology officer, discusses some of the artificial intelligence (AI) products in radiology that are now commercially available and how AI developments will impact PET, MRI and CT imaging. He spoke at the 2019 Radiology AI-Med conference.
He said AI is helping medical imaging in the following areas:
• Identify urgent findings and flagging these on the top of worklists.
• Computer aided detection capabilities that go beyond the traditional to improve efficiency, boost diagnosis and highlight unexpected findings.
• Improving diagnostic image reconstruction
• Tools to enhance the speed, resolution, radiation dose and overall quality of advanced imaging.
Learn more about what AI tools vendors are developing to help medical imaging in the following links:
Technology Report: Artificial Intelligence at RSNA 2018
VIDEO: Editor’s Choice of the Most Innovative New Artificial Intelligence Technologies at RSNA 2018
VIDEO: Artificial Intelligence May Assist in Pediatric Imaging — Interview with Sudhen Desai, M.D.
VIDEO: Editor's Choice of the Most Innovative New Technology at RSNA 2018
VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.
VIDEO: RSNA Post-game Report on Artificial Intelligence
VIDEO: AI, Analytics and Informatics: The Future is Here — Interview with Michael Recht, M.D.
Women's Health View all 62 items
Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, Diana Miglioretti, Ph.D., dean’s professor of biostatistics at UC Davis Health, discussed risk-stratified breast cancer screening and its potential to improve the balance of screening benefits to harms by tailoring screening intensity and modality to individual risk factors.
Read the article "How Risk Stratification Might Affect Women’s Health"
Read the article "FDA Proposes New Rules for Mammography Reporting and Quality Improvement"
Watch the VIDEO: A Discussion on Proposed FDA Rules for Mammography Reporting
Artificial Intelligence | April 17, 2019
At the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, Rasu Shrestha, M.D., MBA, chief strategy officer for Atrium Health, discusses his new role with Atrium, the hype cycle of artificial intelligence (AI) and the key elements of getting AI in radiology — and in healthcare — right.
Read the article "Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care"
Listen to the podcast Is Artificial Intelligence The Doom of Radiology?, a discussion with Shrestha.
Mammography | April 15, 2019
Wendie Berg, M.D., Ph.D., FACR, chief scientific advisor to DenseBreast-info.org and professor of radiology at University of Pittsburgh School of Medicine/Magee-Women’s Hospital of UPMC, spoke with ITN Editorial Director Melinda Taschetta-Millane about some of the proposed amendments to the language being used for mammography reporting and quality improvement.
Read the article "FDA Proposes New Rules for Mammography Reporting and Quality Improvement"
RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displayed on the expo floor at the 2018 Radiological Society of North America (RSNA) meeting. The video includes new technologies for fetal ultrasound, CT, MRI, mobile DR X-ray, a new generation of fluoroscopy systems, MRI contrast mapping to better identify tumors, and a new technique to create moving X-ray images from standard DR imaging.
Watch the related VIDEO: Editor’s Choice of the Most Innovative New Artificial Intelligence Technologies at RSNA 2018. This inlcudes a tour of some of the recently FDA-cleared AI technologies for medical imaging at RSNA 2018.
Women's Health | March 25, 2019
Deborah Levine, M.D., professor of radiology at Harvard Medical School and vice chair for academic affairs in the Department of Radiology at Beth Israel Deaconess Medical Center, Boston, describes scenarios where magnetic resonance imaging (MRI) could be more useful than ultrasound in issues with the female pelvis.
Cardio-oncology | March 22, 2019
Magid Awadalla, MBBS, is an advanced cardiac imaging research fellow at Massachusetts General Hospital. He has been involved in an imaging study of cardiac changes from photon radiotherapy in breast cancer patients using serial cardiac magnetic resonance imaging (MRI). The radiotherapy beams used to treat breast cancer pass close to the neighboring heart, which can cause cardiac cell damage leading to issues like heart failure later on. He spoke on the topic of cardio-oncology at the American College of Cardiology (ACC) 2019 meeting.
Artificial Intelligence | March 13, 2019
At RSNA 2018, iCad showed how its ProFound AI for digital breast tomosynthesis technology might help in the interpretation of tomosynthesis exams. Rodney Hawkins, vice president of marketing for iCad, discusses how this technology can better help detect the cancer.
Related content:
Artificial Intelligence 2018: What Radiologists Need to Know About AI
Radiation Therapy | February 21, 2019
ITN Associate Editor Jeff Zagoudis speaks with Christy Kesslering, M.D., medical director of radiation oncology at the Northwestern Medicine Cancer Center, about the different radiation therapy options for breast cancer patients offered at the center.
Watch the VIDEOs Advancements in Radiation Therapy for Brain Cancer and Multidisciplinary Treatment of Brain Tumors with Vinai Gondi, M.D., director of research and CNS neuro-oncology at the Northwestern Medicine Cancer Center.
