AI for diabetic retinopathy

Buzzworthy developments of the past few days.

physician artificial intelligence

AI adoption for real-world healthcare settings can’t happen in a vacuum. 

artificial intelligence in healthcare

Buzzworthy developments of the past few days.

artificial intelligence for family medicine primary care

ChatGPT is only so-so at letting physicians know if any given clinical study is relevant to their patient rosters and, as such, deserving of a full, time-consuming read. On the other hand ... 

artificial intelligence AI in healthcare

Buzzworthy developments of the past few days.

artificial intelligence kaiser permanente

Imperfect algorithms. Resistant clinicians. Wary patients. Divisive disparities. The plot ingredients of a flashy techno-thriller coming to a cineplex near you? No—just a few of the many worries that provider organizations take on when they move to adopt AI at scale. 

artificial intelligence code face

Buzzworthy developments of the past few days.

artificial intelligence gold rush

It’s more critical for U.S. healthcare to get medical AI right than to get it adopted far, wide and ASAP.

The Society for Cardiovascular Angiography and Interventions (SCAI) has issued a new statement urging the American Board of Internal Medicine (ABIM) to rethink its maintenance of certification (MOC) policies. The organization, home to more than 4,500 interventional cardiologists, says some of its members have seen their privileges “threatened and even revoked” despite passing the necessary exams and reporting procedural volumes as required. Stamp | Certification

The newly incorporated American Board of Artificial Intelligence in Medicine (ABAIM) is soon to begin credentialing healthcare workers in AI, machine learning and deep learning.

If medical AI makes a goof and causes a patient harm, the provider using the technology may be liable for malpractice. Or will the AI vendor be on the hook?

Owkin, a New York City-based AI startup, announced it is now working with the University of Pittsburgh to design and validate advanced machine learning models. Once finalized, the new models are expected to have a significant impact in areas such as clinical research and the development of pharmaceuticals.

smartphone

Researchers are finalizing a new AI-powered smartphone app for assessing a user’s risk of being infected with the new coronavirus.

Around the web

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.

The new collaboration is designed to ensure patients who may face an increased risk of heart disease receive the follow-up care they need.

The new algorithm from Viz.ai is capable of identifying, labeling and quantifying brain bleeds in noncontrast CT images.