An international group of scientists and clinicians is calling on health systems to fight COVID-19 and future public health crises by integrating AI and robotics within a care-delivery framework emphasizing telemedicine.

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.

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

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. 

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

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

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.

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. 

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

A few months into the COVID crisis, the health department of California’s Contra Costa County faced an unexpected side challenge: Staff were getting inundated by faxes bearing vital health data.