The bytes are accumulating far too fast for any human effort to connect whatever dots might be hiding in the massive muddle. Enter 40 researchers at 11 sites armed with AI and almost $18 million in new NIH funding.

The analysis focused on more than 241,000 patients with diabetes.

Hospitals in California, Illinois and New York performed especially well, according to the outcomes-based rankings. 

Analyzing the scientific literature on medical AI published over the past 46 years, researchers in the U.K. have found the U.S. far ahead of the field for sheer quantity.

The FDA has greenlit a European company’s AI software package designed to streamline workflow for radiologists reading prostate MRIs.

Google Health all but invited the blowback when its AI developer-researchers suggested their breast-cancer model may be superior to radiologists’ eyes and generalizable across differing demographics.

The largest pharmacy chain in the U.S. is staffing up for fall and winter. It’s also calling for regulation that would allow pharmacy technicians to administer vaccinations in all states.  

If big data is to fulfill its potential for advancing the state of modern healthcare, developers of medical AI must be willing to show their work.