Intermountain Health is deploying Layer Health’s artificial intelligence for clinical data abstraction to improve its quality ...

And with both predictive and generative AI, how well the models work depends on what data they were trained on. When assessing the utility of AI in health care, it’s important to look at each AI ...

And with both predictive and generative AI, how well the models work depends on what data they were trained on. When assessing the utility of AI in health care, it’s important to look at each AI ...

Typically, experts seeking answers to questions about care need to pore over hundreds of medical charts ... "These AI models are trained on existing health care data, and we know from many ...

closing their charts, for example.” Both health systems emphasize that any AI platforms they implement still require human oversight. “We are not at a point where AI is taking care of patients ...

Women’s health leaders say this is a new era of artificial intelligence, enabling earlier diagnoses, more personalized ...

"Everybody thinks that AI will help us with our access and capacity and improve care and so on," said Nigam Shah, chief data scientist at Stanford Health Care ... I can point you to today ...

AI can be applied in clinical, administrative and research settings in health ... most important aspect of AI technology is that surgeons remain the main decision makers in patient care, according ...