After perusing info on AI startups as compiled by Crunchbase, Forbes senior contributor Louis Columbus has named one “to watch” in 2021 that serves exclusively healthcare.

Researchers have found that some AI models do better, on average, than expert psychiatrists at the difficult task.

The FDA’s new Digital Health Center of Excellence has released a document describing how it will henceforth oversee and evaluate software that incorporates AI and machine learning for medical applications.

AI researchers and developers across the U.S. received a powerful if overshadowed shot in the arm on New Year’s Day.

The FDA has cleared UK-based Ultromics to sell an AI-powered tool for diagnosing coronary artery disease (CAD) on echocardiograms.

Gastroenterologists need not fear being replaced by machines—and patients don’t have to worry about robot colonoscopists.

Of 52 AI models analyzed by MIT’s Center for Information Systems Research over the past two years, 31 have been deployed. The rest were in pilot phases or under development.

Detecting diabetic retinopathy on eyeball imaging has been touted as one of medical AI’s most promising applications, as “the machine” has repeatedly equaled or bested humans at the task.

Academic experts in disaster response have developed an AI-based simulation model that accurately predicts ebbs and flows in traffic at drive-through vaccination stations.

Researchers have used explainable AI to break down a hypothetical animal’s foraging behaviors into measurable cognitive dynamics. They hope their success leads to a better understanding of how humans think.