Related Artificial Intelligence Content
Related Artificial Intelligence Content
Related Artificial Intelligence Content
Related Enterprise Imaging Content:
Julius Chapiro, M.D., research faculty member and an interventional radiology resident at Yale University, describes how artificial intelligence (AI) can be used to revolutionize cancer diagnosis and treatment at the 2018 Radiological Society of North America (RSNA) annual meeting.
ITN Contributing Editor Greg Freiherr discusses how advances in digital technology are giving new meaning to the term dynamic imaging in his conversation with Konica Minolta President and CEO David Widmann.
Vinodh Kumar, M.D., and Komal Shah, M.D., associate professors of radiology at MD Anderson Cancer Center, describe how they are using virtual reality and augmented reality technologies for pre-operative planning and patient education for brain tumor cases. They presented on the technology at the 2018 Radiological Society of North America (RSNA) annual meeting.
Watch the VIDEO: Editor's Choice of Most Innovative Technology at HIMSS 2017 for more examples of augmented reality technology in healthcare.
Robert Quaife, M.D., director of advanced cardiac imaging, University of Colorado Hospital, explains why advanced imaging techniques are required to tackle complex transcatheter procedures and structural heart interventions. The University of Colorado Hospital helped develop the Philips EchoNavigator live image fusion technology, and this video offers an overview of how it came to be and where the technology is going.
Watch the related VIDEO: Evolution of Transcatheter Mitral Valve Repair at the University of Colorado, which shows exaplmes of the navigation technology is use during a MitraClip procedure.
EIZO, which means image in Japanese, is a visual technology company that develops and manufactures high-end display solutions. EIZO has been one of the leading healthcare brands worldwide in medical imaging solutions for the digital era with over 45 years developing and manufacturing innovative display solutions designed for mission-critical applications. Keep your eyes open for the RX360 and GX560 available at the beginning of 2019.
Enhao Gong, Ph.D., founder of Subtle Medical, an artificial intelligence (AI) company that develops products to help medical imaging, explains how AI might be used to reduce the amount of gadolinium contrast needed for magnetic resonance imaging (MRI) exams.
Radiological Society of North America (RSNA) 2018 annual meeting keynote speaker Michael Recht, M.D., chairman of radiology at NYU Langone Health, discusses how artificial intelligence is being used at his institution to improve the patient experience, and how advanced technologies may impact radiology in the future.
ITN Editor Dave Fornell and ITN Contributing Editor Greg Freiherr share their insights on the new technology and vendors highlighting enterprise imaging (EI) products during their coverage of Radiological Society Of North America (RSNA) 2018 meeting.
Watch the "VIDEO: RSNA Post-game Report on Artificial Intelligence" to hear insights from Fornell and Freiherr on the hottest technology trend in radiology at RSNA 2018.
ITN Editor Dave Fornell and ITN Contributing Editor Greg Freiherr share their insights on the vendors showing artificial intelligence (AI) products or works-in-progress for this key trend during their coverage of the Radiological Society Of North America (RSNA) 2018 meeting.
Watch the "VIDEO: RSNA Post-game Report on Enterprise Imaging" to hear insights from Fornell and Freiherr on the newest generation enterprise imaging technology at RSNA 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:
Accuray's philosophy is to personalize treatments to exactly fit the patient. Senior Director of Marketing Andrew Delao explains this philosophy in a conversation with Greg Freiherr at ASTRO 2018.
This is an example of the FDA-cleared OpenSight augmented reality (AR) system for surgical planning from NovaRad at the Radiological Society Of North America (RSNA) 2018 meeting. It uses a Hololens headset to register an overlay of the patient’s MR or Ct scan in the patient. The operator can use hand movements to slice through and manipulate the images.
The vendor gained an FDA indication for AR to be used in surgical planning in 2018. NovaRad is working with the FDA for a second indication for use of the AR in the operating room during procedures.
This video is jerky, slightly misaligned and the hand movements did not always respond because itwas shot with an iPhone inside the visor. The image quality and hand movements are much better when actually wearing it on your head and aligned for the specific user.
This is an example of how artificial intelligence (AI) can help improve patient care by pulling together patient data from numerous sources n the elect if medical records that are specific to a patient’s diagnosis and treatment for a specific disease state. This is Siemens’ AI-Pathway Companion introduced at the Radiological Society Of North America (RSNA) 2018 meeting this week. In this examples. A prostate cancer patient has all their data on a single time line that can be accessed by single clicks on the points to open reports, images, procedures or labs.
At the end of the time line it integrates AI driven clinical decision support that recommends the next course of action based on clinical guidelines. The guidelines cited can also be opened for review by the clinician.
Here is an example of how artificial intelligence (AI) is helping radiologists with faster workflow to improve care. This example from the Philips Illumeo system shows a spine CT and how the radiologist can use the tool bar to gain one-click, immediate access to three prior CT studies that will open with the exact slate slice view and orientation as the current exam. This was shown at the 2018 Radiological Society of North America (RSNA) meeting.
The FDA cleared the MaxQ AI Accipio Ix intracranial hemorrhage (ICH) detection software in November 2018. Here it is displayed at the Radiological Society of North America (RSNA) 2018 meeting.
Deployed on Microsoft Azure, GE Healthcare’s iCenter is a secure, cloud-based tool that provides visibility to asset service and utilization data, with 24x7 access. Watch the video below and visit Booth #7334 at RSNA 2018 to see how GE Healthcare and Microsoft are elevating radiology, together.
ITN Editor Dave Fornell took a tour of some of the most innovative technologies on display on the expo floor at the American Society for Radiation Oncology (ASTRO) 2018 conference. The overview includes new technologies for proton therapy, MRI-guded radiation therapy, PET-guided radiotherapy, brachytherapy, SRS quality assurance, 3-D printing and mobile connectivity to the oncology information system.
Genomics can be used to assess a patient's radiosensitivity, which can be used to increase or decrease the radiation that needs to be delivered to treat the tumor and spare surrounding healthy tissue. Javier Torres-Roca, M.D., associate professor of radiation oncology, Moffit Cancer Center, and co-founder of the genomics company Cvergenx, spoke on this topic at the ASTRO 2018 conference.
Leveraging years of industry-leading expertise in flat-panel display technology, LG Business Solutions has expanded their medical imaging device portfolio of the most accurate displays possible.
A discussion with Kevin Moore, Ph.D., DABR, deputy director of medical physics and associate professor, University of California San Diego, about his daily clinical use of an artificial intelligence treatment planning software. He spoke on this at the American Association of Physicists in Medicine (AAPM) 2018 meeting.
Also watch the VIDEO: The Impact of Artificial Intelligence on Radiation Therapy — an interview with Steve Jiang, Ph.D.
Radiological Society of North America (RSNA) President Vijay Rao, M.D., the David C. Levin professor and chair of radiology, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, spoke to ITN at the 2018 AAPM meeting. She said artificial intelligence is by far the most impactful new technology in radiology and it will be by far be one of the hottest topics at the 2018 RSNA annual meeting.
A discussion with Martin Vallieres, Ph.D., post-doctoral fellow at McGill University, Montreal, Canada. He spoke on this topic in sessions at the American Association of Physicists in Medicine (AAPM) 2018 meeting. He explains radiomics and how it can be used in both medical imaging and radiation therapy.
Read the related article "Hidden Information Behind Imaging Tests for Cancer May Unlock New Approaches to Radiation Therapy."
Read the related article "Computer Program Beats Physicians at Brain Cancer Diagnoses."
Sheila Sferrella, president of Regents Health Resources and Bill Finerfrock, president of Capitol Associates, discuss the latest updates to clinical decision support (CDS)/appropriate use criteria (AUC) requirements from the Centers for Medicare and Medicaid Services (CMS). Sferrella is the chair and Finerfrock is a member of the AHRA Regulatory Affairs Committee.
Watch the related VIDEO Clinical Decision Support of the Future
Angelic Bush, CRA, FAHRA, president of the Association for Medical Imaging Management (AHRA), and Bill Algee, AHRA president-elect, discuss the key themes of the 2018 AHRA annual meeting and how radiology can define its value in a patient-centered care environment.
A discussion with Steve Jiang, Ph.D., director of the medical artificial intelligence and automation lab and vice-chair of the Department of Radiation Oncology, University of Texas Southwestern. He spoke in sessions at AAPM 2018 about how AI will change treatment planning, radiation oncology and medical imaging.
Watch the VIDEO: Real-world Implementation of Deep Learning for Treatment Planning — a discussion with Kevin Moore, Ph.D., DABR, deputy director of medical physics and associate professor, University of California San Diego, about his daily clinical use of an artificial intelligence treatment planning software.
At SIIM 2018, Alexander J. Towbin, M.D., Radiologist, Department of Radiology and Medical Imaging, Neil D. Johnson Chair of Radiology Informatics, Associate Chief of Radiology Informatics, at Cincinnati Children’s Hospital, discusses the meaning of patient engagement and describes some of the patient engagement initiatives that he has seen successfully implemented in various practices.
Read the article "Essentials of Pediatric Imaging" with input from Towbin.
Change Healthcare is looking at how to apply AI into enterprise imaging by using algorithms to change data into knowledge. For more information go to www.changehealthcare.com.
ITN Contributing Editor Greg Freiherr interviews Eliot Siegel, M.D., radiology professor at the University of Maryland School of Medicine and chief of Imaging Services at the VA Maryland Health Care System.
It’s ridiculous to think that in the coming two decades, artificial intelligence will replace radiologists, says AI expert Eliot Siegel, M.D. Even if AI got good at reading medical images, “radiologists do much more than that,” he says.
In the accompanying video interview, Siegel, a radiology professor at the University of Maryland School of Medicine and chief of Imaging Services at the VA Maryland Health Care System, will highlight these and other reasons why it’s ridiculous to think computers will replace radiologists. He’ll discuss them during a SIIM debate on the subject June 2 that will include Bradley J. Erickson, M.D., associate research chair in the radiology department at Mayo Clinic in Rochester.
AI might not replace radiologists, but it could radically change the practice of radiology in just a few years, he says. During a SIIM session June 1, Siegel will moderate discussions among executives from several companies, including GE Healthcare and newcomer Aidoc, who will look at radiology AI applications and roadmap how these and future applications will incorporate AI.
One thing is for sure, says Siegel: AI is going to dramatically increase radiologists’ use of lab data, genomics and digital pathology. Several of these data types may become integral parts of reading oncologic images, according to Siegel, who will provide details at SIIM May 31 in “Point-of-Care Precision Medicine: Real-time Radiomics-Genomics in the Reading Room.”
Editor’s note: This pre-SIIM video interview is the first in a series of three by Greg Freiherr. The series features industry luminaries discussing key issues associated with the upcoming SIIM conference. The first interview, Building An Effective Enterprise Imaging Strategy featuring Kim Garriott, can be viewed here.
Related Video: ITN Editorial Director Melinda Taschetta-Millane discusses "Machine Learning and the Future of Radiology" with Eliot Siegel at SIIM 2017.
ITN Contributing Editor Greg Freiherr interviews Kim Garriott, Principal Consultant, Logicalis
The rapidly expanding volume of unstructured data, exemplified by medical images, underscores the need to develop an enterprise imaging strategy, says Kim Garriott, principal consultant at Logicalis, a global provider of IT solutions and managed services.
In the accompanying video interview, Garriott explains how the combination of these two may form a convincing argument for the leadership of your organization to move forward with enterprise imaging.
On June 1, at the upcoming SIIM 2018 convention, she will co-host the continuing education session “Achieving Enterprise Imaging Maturity,” during which she and the HIMSS-SIIM Workgroup will present the new Digital Imaging Adoption Maturity Model. DIAM, as it is called, is designed to support real-time collaboration and patient-centric care by providing a method to address enterprise-wide imaging challenges.
When developing an enterprise imaging strategy, organizations must consider their specific needs, which are characterized in “use cases.” Garriott, who is the global chair of the HIMSS analytic DIAM Development team and co-chair of the HIMSS-SIIM Enterprise Imaging Workgroup, explains that these use cases constitute one very important element of the enterprise imaging strategy. Another is construction of a “data governance model.” This model is needed to guide the capture of data and is essential to the success of enterprise imaging.
Editor’s Note: This pre-SIIM video interview is the first in a series of three by ITN Contributing Editor, Greg Freiherr. The series features industry luminaries discussing key issues associated with the upcoming SIIM conference.
Related Video: ITN Associate Editor Jeff Zagoudis discusses, "Enterprise Imaging and the Digital Imaging Adoption Model" with Kim Garriott at HIMSS 2018.
Organizations who are embarking on an enterprise imaging journey share many of the same questions and concerns regarding how to best optimize workflow across providers, departments and facilities; which technologies will provide the best fit for achieving the future vision; and how to maximize value and accelerate return on investment by driving adoption and improving satisfaction among providers and healthcare consumers (patients).
We, Paragon Consulting Partners LLC (PCP Imaging), are a team of passionate healthcare professionals that bring over 100 years of collective clinical, technical and business leadership experience within the healthcare IT and imaging informatics industries. In this video we address the key challenges and considerations faced by organizations undertaking an Enterprise Imaging journey, and how a trusted partner can contribute valuable expertise and guidance that enable healthcare organizations and vendors of any size to successfully tackle even their most challenging enterprise imaging initiatives. For more information, visit pcpimaging.com.
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:
Kim Garriott, principal consultant, healthcare solutions, at Logicalis Healthcare Solutions, describes the remaining obstacles to enterprise imaging adoption and explains how the new DIAM for Enterprise Imaging, launched at HIMSS18, can provide a roadmap for future technology adoption.
Related Enterprise Imaging Content:
Jonathan Teich, M.D., chief medical information officer for InterSystems, discusses the growth of clinical decision support in the United States, what he believes will drive further growth and the ways it may be used in the future
This 5 megapixel, high-brightness color monitor has the high-definition display necessary for breast imaging. It combines ease-of-use, such as a narrow bezel design to help your eyes swiftly move from one monitor to another, with new functions to help you focus on your work and maintain high performance.
Read more about the display and its FDA clearance in the article "Eizo RadiForce RX560 Monitor Receives FDA 510(k) for Tomosynthesis and Digital Mammography."
ITN Associate Editor Jeff Zagoudis demonstrates several mobile apps designed to help pediatric patients learn what an MRI exam is like to help calm their fears and make it easier to conduct the exam. Read the article "Pediatric MRI Calming Techniques"
ITN Contributing Editor Greg Freiherr offers an overview of enterprise imaging advances at the Radiological Society of North America (RSNA) 2017 annual meeting. Read the article RSNA Technology Report 2017: Enterprise Imaging.
Related Enterprise Imaging Content:
ITN Editor Dave Fornell previews the launch of augmented reality (AR) technology in the January/February 2018 issue of ITN. Augmented reality brings new depth to print content through your smartphone by connecting to related videos and other resources.