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. 

Low-back imaging and interventions are often named among healthcare’s iffiest expenses due to the hit-or-miss predictability of the outcomes.

Hawaii is the state with the best overall access to healthcare, achieving high scores for percentages of residents with a personal physician and children with a medical home while minimizing unmet needs for mental healthcare and doctor avoidance due to cost.

Medical scribes can save cardiologists a lot of time, and seeing just one additional patient a day would cover the additional costs.