*May also include VR/AR and 3D printing. Links lead to announcements as sent by the companies.

Researchers have used deep learning software to accurately detect age-related cognitive impairment using only photos of patients’ faces.

The idea is to head off serious gathering threats without getting thrown off the scent by strains unlikely to proliferate.

AI melanoma detectors that equaled or bettered dermatologists in clinical trials have stumbled on the way to the real world of patient care. 

The NIH, FDA and Bill and Melinda Gates Foundation are working with a San Francisco startup whose calling card is an AI-enabled engine that renders patient data unidentifiable by reproducing it in synthetic versions.

Last Tuesday the FDA posted an action plan telling how it will evaluate AI for medical applications going forward. Three days later the agency officially proposed letting numerous products through without review. 

One turnoff is remote food monitoring. Another is real-time feedback—whether from a live healthcare professional or an AI algorithm.

A noted AI researcher and educator who was drawn to the field by its escalating penetration of “the mysteries of perception and cognition” has found a sort of missing link in its evolution. 

The tools could be used by primary care providers to head off adverse respiratory events and suboptimal healthcare utilization. 

An AI application that interprets MRI scans of the brain for signs or confirmation of injury has received 510(k) clearance from the FDA.