“Vital sign measurements and labs can come too late, but early detection through predictive analytics has the power to improve patients’ outcomes, especially for catastrophic illnesses like COVID-19,” the software's creator said. 

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. 

Case Western Reserve University researchers teamed up with a number of institutions, including the Cleveland Clinic and Mount Sinai Hospital, among others, to develop RadClip.

DeepHealth, a subsidiary of the Los Angeles-based imaging giant, said its novel algorithm demonstrated higher performance than a group of trained breast radiologists. 

A number of other leading organizations are involved in the project, including Zebra Medical, Aidoc and Qure.ai, along with the Israeli firm's collaborative partner USARAD.

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.

ABR said artificial intelligence will help determine which oral and computer-based exams to review more closely for infractions.