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.

Three machine learning algorithms have identified patients likely to suffer extreme pain following surgery with about 80% accuracy each.

Nearly 90% of U.S. gastroenterologists are open to using AI for help performing high quality colonoscopies. And of these, 85% believe that computer-assisted polyp detection (CADe) stands to improve their endoscopic performance.

Along with the unprecedented challenges COVID-19 has brought to U.S. hospitals in 2020 are some older sore spots that the pandemic has only inflamed.