About 80% of all FDA-approved healthcare AI applications are related to radiology — but due to a massive workforce shortage, radiologists don't have the time to explore, choose, validate and implement the tools available to them. Some providers are using a radiology AI marketplace called CARPL to address this problem, including Massachusetts General Hospital and University Hospitals.
Dr. Wendaline VanBuren, a radiology chair at Mayo Clinic, thinks that AI is in the beginning stages of improving radiologists’ workflows. Some of the most developed radiology AI research projects at Mayo center on image segmentation and 3D printing, she said. In the future, she’s excited to see more tools that aid radiologists in triage and lesion measurement.
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
The AI tools that radiologists need the most are ones that integrate their workflows and make it easier to access past images, said Dr. Jocelyn Chertoff, radiology chair at Dartmouth Health. When adopting AI to address their workforce shortage, hospitals need to involve clinicians early-on in decisions about what new tools to implement, she also noted.
Laying AI functions on top of already outdated systems or relying on separate solutions that do not play into the unified stack system––especially given the volume of data, delicate privacy issues and the need for constant updates––does not optimally contribute to the advancement of radiology.
At RSNA 2023, GE HealthCare announced the launch of a new AI suite designed to simplify radiologists’ workflows when reading mammograms and help them detect breast cancer in patients sooner. The new offering includes three AI tools made by iCAD.
Two of Philips' most notable RSNA announcements were that its new cloud-based PACS is available and that its helium-free mobile MRI system will soon be deployed. More than 80 sites across the U.S. and Latin America have already migrated to Philips' new PACS, and its mobile MRI system will be traveling to various cities next year.
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
At RSNA 2023, AI startup Hoppr announced that it teamed up with AWS to launch a new foundation model. The product, named Grace, is a B2B model designed to help application developers build better AI solutions for the medical imaging field — and to build them more quickly.
AI may transform health care across the board, but not by itself. It's a tool, and like any tool, it will work more effectively and more safely in trained hands. As the AI revolution continues to grow, we believe organizations should invest in that training now.
New York-based startup Ezra recently received FDA clearance for an AI tool it plans to use to launch “the world's first 30-minute full body MRI scan.” The tool, named Ezra Flash, enhances the quality of MR images so that radiologists can detect cancer earlier.
The potential of ChatGPT is exciting. Radiologists have come a long way on the AI journey. What started as a fear from some that AI would replace us, has evolved to a more nuanced understanding that AI’s greatest contribution in medical imaging is to make us better radiologists.
We will highlight Build My Health's revenue practice management tools, which could help physician practices add up to $250,000 to their practices.
Medical device manufacturer iCAD entered into a development and commercialization agreement with Google Health, in which it will integrate Google’s mammography AI technology into its suite of breast imaging AI products. The agreement marks Google’s first commercial partnership to deploy its breast imaging AI model into clinical practice.
Google Cloud unveiled a new product suite to make medical imaging data more interoperable and useful via artificial intelligence. Hackensack Meridian Health has begun using it to detect metastasis in prostate cancer patients earlier, and Hologic is using it to strengthen its diagnostic platform that screens women for cervical cancer.
Several AI solutions for various indications in radiology - from x-rays to CT scans to ultrasounds - aim to address not only the radiologist provider shortage, but also improve the current standard of care, whether shortening times or increasing accuracy.
To date, AI has demonstrated value in its ability to handle asynchronous tasks such as image triage and detection. What's even more interesting is the potential to enhance real-time image interpretation by giving the computer context that lets it work with radiologists instead of trying to replace them.
In the final days of the Trump Administration, the Department of Health and Human Services sought to deregulate 83 different types of medical devices, citing a lack of reported adverse events. But the Food and Drug Administration put an end to the sudden reversal, saying the proposed exemptions were “flawed.”