The images are rendered from CT scans and allow viewers to navigate the lungs in 360-degree tours, as demonstrated in a video podcast posted by George Washington University Hospital.

Google Cloud is injecting $100 million into a supplier of telehealth platforms, partly to build out AI systems for helping hospitals remotely handle patient inquiries, intake and triage.

Someone had to come right out and ask. Six researchers representing four medical specialties have done so, weighing the odds by reviewing a representative sample of the literature.

Medical journals accepting reprint fees are much more likely to publish articles written by authors who received industry payments.

Early this month CMS agreed to reimburse hospitals for using the first AI software to qualify for Medicare’s NTAP mechanism. Healthcare AI watchers have been unpacking the intricacies of the development ever since.

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.

People have been anticipating the demise of radiologists for years, speculating that AI will soon be interpreting imaging results with the precision of a seasoned veteran.

Providers seeing patients remotely via Microsoft Teams make up the target market for a Nuance voice-recognition offering that automatically takes clinical notes during virtual visits and renders them useful immediately afterward.

AI, the group wrote, could "usurp the EHR as the most disappointing application of technology within medicine”

Amazon Web Services is marketing the line to healthcare organizations that are awash in data but lack an efficient way to wring meaning from it.