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.

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.

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.

Knowing that antibodies as well as viruses bind to certain proteins in certain ways, scientists have come up with a technique to watch both sickness-signaling materials stick to microscopic beads prepared for the purpose.

Machine learning can help post-childbirth mothers guard against problems with subsequent pregnancies, potentially saving their lives and those of their future babies.

Researchers at West Virginia University are well placed to tap AI for teasing out the role of existing respiratory concerns in the progression of COVID-19.

Along with new or improved algorithmic applications for chest imaging, watch for word of an AI-powered breathalyzer and other diagnostic techno-weapons aimed at COVID. What they’ll all have in common is full-throated NIH support.

In response to the COVID pandemic, most hospitals have adopted a policy of curtailing elective clinical and surgical services while preserving urgent/semi-urgent and inpatient care in order to conserve personal protective equipment (PPE), and to reduce patient and personnel exposure to infection, while providing for surge capacity in the event of wider dissemination.