Generative AI of the “large language” kind has been an attention hog over the past 10 or 11 months. The buzz has been so loud and constant that it’s all but asking to be dismissed as hype.

Specialists with Providence Health System developed a new artificial intelligence algorithm to help make staffing schedules more flexible and predict patient volumes.

Last week brought the latest in an occasional series of conversations on AI between governmental leaders and Big Tech honchos.

Almost 80% of provider organizations spent more on IT systems and software this year than last, yet only 6% have a plan in hand to incorporate generative AI into their digital ecosystem.

Almost half of clinicians around the world, 48%, believe it’s a good thing for AI to help direct care pathways. The broad buy-in is striking since, in the present year, only 11% of clinical decisions are assisted by AI tools.

AI is accelerating genomic medicine’s advance into the promised land of personalized, predictive and preventive care.

Whichever AI segment you follow most closely, be it healthcare or any other, you had to pause to absorb this week’s financial report from Nvidia.

ChatGPT often gives confusing, conflicting answers about cancer treatments, according to new research out of Brigham and Women's Hospital.