Three machine learning algorithms have identified patients likely to suffer extreme pain following surgery with about 80% accuracy each.

Nearly 90% of U.S. gastroenterologists are open to using AI for help performing high quality colonoscopies. And of these, 85% believe that computer-assisted polyp detection (CADe) stands to improve their endoscopic performance.

The COVID-19 pandemic is a bad dream in the truest sense of the word—and AI helps to prove it, a team of researchers assert in a study published online Oct. 1 in Frontiers in Psychology.

Researchers at Columbia University have developed a machine learning algorithm that identifies and predicts gender-based differences in adverse reactions to drugs. 

A supplier of healthcare software in the respiratory care space has received the FDA’s blessing to market deep learning elements newly added to an existing product.

The work of Regina Barzilay, PhD, a professor of electrical engineering and computer science at MIT, has focused on breast imaging, the development of new antibiotics and much more. 

A small but mighty research outfit based in Hungary has compiled a user-friendly database of medical technologies anchored in AI and approved by the FDA.

The novel AI-aided app can run on both Apple and Android operating systems and only needs to be placed near the would-be sleeper—a familiar nightstand, shelf or end table will do—at bedtime.