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.

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.

A new deep learning algorithm quickly and accurately forecasts outcomes of COVID-positive patients in the ER going by routine workup information.

Researchers have demonstrated two deep learning tools aimed at uncovering the psychology of aging.

Only 19 of 159 radiation oncology professionals working across Canada, or 12%, feel they’re well-versed in AI. However, more than 90% are open to learning its ways.

The scientists focused on getting their AI to mimic the cortical mechanism of “gating,” which controls information flow between neuron clusters to apply existing knowledge to new situations.