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VIDEO: Artificial Intelligence Driven Adaptive Radiotherapy System Begins Treating Patients

Artificial Intelligence | October 22, 2019

David Sjostrom, Ph.D., deputy chief physicist, Herlev Hospital, Department of Oncology, Division of Radiotherapy, Herlev, Denmark, shares the first clinical experience treating cancer patients with the Varian Ethos radiation therapy system. He spoke to ITN at ASTRO 2019, where he presented information on the first 5 patients in the world being treated with this new technology. It uses artificial intelligence to take the onboard cone beam CT scans to automatically create an adaptive plan for any changes in patient weight loss, bladder volume, or change in tumor size. The plan can be available in minutes while the patient is on the table. It enables sparing of more healthy tissue and makes adaptive therapy much easier to use. 

 

Information Technology

Artificial Intelligence | October 22, 2019

David Sjostrom, Ph.D., deputy chief physicist, Herlev Hospital, Department of Oncology, Division of Radiotherapy, Herlev, Denmark, shares the first clinical experience treating cancer patients with the Varian Ethos radiation therapy system. He spoke to ITN at ASTRO 2019, where he presented information on the first 5 patients in the world being treated with this new technology. It uses artificial intelligence to take the onboard cone beam CT scans to automatically create an adaptive plan for any changes in patient weight loss, bladder volume, or change in tumor size. The plan can be available in minutes while the patient is on the table. It enables sparing of more healthy tissue and makes adaptive therapy much easier to use. 

 

Treatment Planning | August 21, 2019

This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and auto-contours them as the first step in creating radiation oncology treatment plans. This example of a segmented prostate computed tomography (CT) scan being used to plan radiotherapy was created without any human intervention. It was demonstrated at the American Association of Physicists in Medicine (AAPM) 2019 meeting. 

This example shows OAR Space hydrogel (outlined in blue) injected to create space between the prostate and the rectum to prevent damage to that radiation sensitive structure. The gel is hard to identify on the CT scan because it looks like part of the rectum or prostate. But the softwares AI has been trained to identify it when present.

The DLCExpert software was cleared by the FDA in July 2018 and was first shown at ASTRO 2018. It automatically identifies anatomical structures and contours them to save staff time. The files created by the software are vendor neutral and can be imported into any vendor’s treatment planning system. Read more about this software. 

Find more news and video from AAPM

Radiology Business | August 02, 2019

Association for Medical Imaging Management (AHRA) President Chris Tomlinson, CRA, FAHRA, and President-elect Jacqui Rose, CRA, FAHRA, discuss some of the most important clinical topics at the 2019 AHRA Annual Meeting and how the association plans to help its members embrace technological change in the coming years. Among the main focuses at the meeting were clinical decision support (CDS)artificial intelligence (AI) and the use of data analytics to improve equipment and personnel performance. 

Watch the VIDEO: Assessing Cardiovascular Risk in Ultra-endurance Athletes, an interview with Colorado State University graduate research assistant Nate Bachman at AHRA 2019.

Artificial Intelligence | July 22, 2019

Leigh Conroy, Ph.D., physics resident, University Health Network, Princess Margaret Cancer Center, Toronto, Canada, explains how her center is using machine learning to automate treatment plans. The center is one of the first to use the RayStation machine learning treatment planning system for radiation oncology. She spoke at the American Association of Physicists in Medicine (AAPM) 2019 meeting. 

Learn more about how this technology works in the VIDEO: Editor's Choice of the Most Innovative Technologies at AAPM 2018.

Find more news and videos from AAPM.

 

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 images 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 specialists 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.

 

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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.

 

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.

Find more RSNA 2018 coverage.

 

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.

 

Additional articles and videos on Henry Ford Hospital 

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. 

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"

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 12, 2019

Paul Chang, M.D., professor of radiology, vice chair of radiology informatics and medical director for enterprise imaging, University of Chicago, explains some of the issues with artificial intelligence (AI) and how hospitals can better prepare for its eventual implementation across the field of medicine. A key takeaway is that hospitals need an infrastructure and roadway for AI and deep-learning algorithms to operate. Chang said most health systems will not invest directly in AI, but will invest in analytics, which Chang said uses much of the same infrastructure required by AI.

Chang spoke on this topic at an AIMed breakfast briefing seminar in Chicago April 9, 2019. Listen to a webcast of this hour and 15 minute talk.

 

 

 

 

Artificial Intelligence | April 02, 2019

At RSNA 2018, GE Healthcare formally presented Edison as the company's new applications platform, designed to speed the delivery of precision care. 

 

Related GE Edison Platform Content:

VIDEO: Artificial Intelligence - GE Builds AI Applications on Edison Platform

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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

GE launched a new brand that covers artificial intelligence (AI) at the Radiological Socoety of North American (RSNA) 2018 meeting. The company showed several works-in-progress, including a critical care suite of algorithms and experimental applications for brain MR. Each is being built on GE's Edison Platform.

 

Related GE Edison Platform Content:

GE Healthcare Unveils New Applications and Smart Devices Built on Edison Platform

VIDEO: itnTV Conversations — What is Edison?

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.

Enterprise Imaging | March 15, 2019

As a VNA, GE Healthcare Centricity Clinical Archive weaves together data from many different sources and systems. The cloud-based system, shown at RSNA 2018, offers analytics that can help physicians and administrators make decisions about the many types of data contained in this VNA, just as it can help make the VNA more efficient. 

Related content:

Technology Report: Enterprise Imaging 2018

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.

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Artificial Intelligence 2018: What Radiologists Need to Know About AI

RSNA 2018 Sunday – Improving, Not Replacing

Enterprise Imaging | March 08, 2019

Mike Ciancio, imaging systems administrator at CarolinaEast Health System in North Carolina, explains how newer enterprising imaging software can improve how the backend administration of radiology PACS administration. He spoke at the 2019 Healthcare Information Management and Systems Society at (HIMSS) conference.

Ciancio said newer cloud-based systems allow for easier IT management of the backend of a PACS or enterprise imaging system.

Watch the related VIDEO: A Transformative Approach to Reducing Cost and Complexity at CarolinaEast Health System.

Look through a photo gallery of other new technologies at HIMSS19. 

Find news and videos from HIMSS 2019.

HIMSS | March 08, 2019

Karl Poterack, M.D., medical director, applied clinical informatics, Mayo Clinic, explains the role wearable devices will play in healthcare. He presented in several sessions at the 2019 Healthcare Information Management and Systems Society at (HIMSS) conference.

Poterack said there is a brewing tsunami of data in wearable technologies that healthcare systems will have to figure out how to integrate in the coming years. He said the key issue with wearable data is that there needs to be outcomes data showing the value of how many steps a patient accumulates, changes in heart rate over time, or blood pressure changes in patients with specific aliments. Without this , he said there is limited value in the information. 

Watch the related VIDEO: Use of Wearable Medical Devices for Cardiac Rehabilitation.

Look through a photo gallery of other new technologies at HIMSS19. 

Find news and videos from HIMSS 2019.

PACS | March 05, 2019

Cree Gaskin, M.D., professor, vice chair and associate chief medical officer, University of Virginia Health System, explains how new technology can be used to improve radiology reports without additional workload. His health system uses a new generation integrated RIS/PACS system that allows URL links and new graphical data presentations to be embedded into radiology reports to make them more interactive. This information can include quantifications, key images from the exam, access to full datasets, 3-D reconstructions and ability to immediately link to prior exams. He spoke is sessions on this topic at the 2019 Healthcare Information Management and Systems Society (HIMSS) conference.

Look through a photo gallery of other new technologies at HIMSS19. 

Find news and videos from HIMSS 2019.

Advanced Visualization | March 05, 2019

This is an example of a new endoscopic virtual peritoneal inflation tool on the patient's computed tomography (CT) imaging to aid in pre-procedural planning of endoscopic procedures. This is a new software feature on Fujifilm's Synapse 3D advanced visualization software released at the Healthcare Information Management and Systems Society (HIMSS) 2019 meeting. The software also enables 3-D imaging for surgical pre-procedural planning to assess the best entry points and angles. 

Look through a photo gallery of other new technologies at HIMSS19. 

Find news and videos from HIMSS 2019.

Orthopedic Imaging | March 05, 2019

This is an example of a 3-D printed pelvis that had multiple hip fractures and a second printed pelvis is from a post surgical repair CT scan, showing the pins and plates in pink. This was on display at the GE Healthcare booth at the Healthcare Information Management and Systems Society (HIMSS) 2019 conference. The files for printing were created from the CT datasets using the AW Advanced Visualization software.

Look through a photo gallery of other new technologies at HIMSS19. 

Find news and videos from HIMSS 2019.

 

Advanced Visualization | March 05, 2019

This is an example of a new endoscopic 3-D imaging simulator created from a patient's computed tomography (CT) scan using Fujifilm's Synapse 3D advanced visualization software. The feature was released at the Healthcare Information Management and Systems Society (HIMSS)  2019 meeting. The software enables surgical pre-procedural planning to assess the best entry points and angles. The software also enables users to perform a virtual peritoneal inflation using the advanced imaging platform.

The software shows the anatomy color coded so structures are easier to identify and to aid navigation. In this example, a pancreatic tumor is highlighted in green, which is the target of this virtual simulation. 

Find news and videos from HIMSS 2019.

 

 

Information Technology | February 28, 2019

Andrew Deutsch, M.D., MBA, chairman and CEO of Renaissance Imaging Medical Associates (RIMA), an affiliate of Radiology Partners, describes RIMA’s use of an artificial intelligence (AI) based worklist workflow to manage reads across 70 sites and load balance between 120 radiologists. He spoke in sessions on this topic at the 2019 Healthcare Information Management and Systems Society at (HIMSS) conference.  

Deutsch, a nationally respected expert in skeletal radiology and magnetic resonance imaging (MRI) and in addition to his roles at RIMA, serves as medical director of the imaging departments at Northridge Hospital Medical Center and Valley Presbyterian Hospital.

Look through a photo gallery of other new technologies at HIMSS19. 

Find other news and video from HIMSS 2019. 

 

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VIDEO: Editor’s Choice of the Most Innovative New Artificial Intelligence Technologies at RSNA 2018

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How to Market Healthcare Artificial Intelligence Software

Selecting an AI Marketplace for Radiology: Key Considerations for Healthcare Providers

Cardiac Imaging | February 27, 2019

This is a virtual heart with the same electrophysiology characteristics as the real patient unveiled by Siemens at the Healthcare Information Management and Systems Society (HIMSS) 2019 annual meeting in February. This "digital twin" technology is in development and will be able to create virtual, digital organs from a patient’s medical imnaging and other physiological data. In this case, the model was created using an ECG, MRI scan and other clinical data. It was shown as a way to help optimize cardiac resynchronization therapy (CRT) lead placement. CRT currently has a 30 percent nonresponder rate, which is mainly due to the placement of leads. This model allows virtual placement of the leads In various locations to test response prior to the implantation procedure. The green dot shows the location of the virtual lead. Siemens said the technology also might have applications for testing virtual ablations strategies to save procedure time when the patient is in the EP lab

Read more about the digital twin technology.

Look through a photo gallery of other new technologies at HIMSS19. 

Find news and videos from HIMSS 2019.

 

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. 

 

Enterprise Imaging | February 27, 2019

Steve Holloway, principal analyst and company director for the healthcare market research firm Signify Research, explains the key trends he is seeing in radiology enterprise imaging systems. He spoke to ITN at the 2019 Healthcare Information Management and Systems Society at (HIMSS) conference.  

Additional HIMSS 2019 coverage.

Watch the RSNA 2018 VIDEO: Technology Report — Enterprise Imaging

Enterprise Imaging | February 20, 2019

At RSNA 2018, Philips Healthcare introduced Performance Bridge as an integral part of its IntelliSpace Enterprise Edition. The insights help drive improvements and efficiencies.

Information Technology | February 07, 2019

In this video Johann Fernando, Ph.D., Chief Operating Officer of FUJIFILM Medical Systems U.S.A., Inc. discusses his vision for Fujifilm as an end-to-end imaging partner -- offering high quality solutions for diagnostic imaging, treatment planning, treatment follow-up, and enterprise imaging management. He also shares his point-of-view on developing patient-centric solutions catering to the unique needs for specialized patient populations including solutions for pediatrics and imaging solutions dedicated to the operating room. 

 

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Artificial Intelligence | February 05, 2019

ITN Contributing Editor Greg Freiherr discusses Fujifilm's AI-enabled Platform REiLI, the benefits of an open AI platform, and how this impacts radiologists' workflow and patient outcomes with FUJIFILM Medical Systems U.S.A., Inc. Vice President of Medical Informatics, Bill Lacy. 

Missed your chance for a REiLI demo at RSNA?  Visit Fujifilm's booth #4159 at HIMSS February 12–14, 2019. 

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Artificial Intelligence | February 01, 2019

Artificial intelligence can do more than assist in the interpretation of patient images. At RSNA 2018, Imalogix showed how its unique AI application can help meet compliance requirements, directly improve patient safety and increase efficiencies.

 

Related Artificial Intelligence Content

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