The industry's ability to establish effective governance hinges upon the ability to overcome the inherent challenges ...

Health systems also need to keep ... aren’t adequately evaluating their AI models for bias and accuracy — which could pose a risk to patient care, according to the latest research, which ...

Despite the hype over artificial intelligence in medicine, the systems require consistent monitoring and staffing to put in ...

Generative AI in healthcare has reached a turning point as adoption continues to grow, but health systems face critical ...

Only 61% of hospitals using AI or a predictive model report evaluating for accuracy using local data, and just 44% do so for bias, according to a recent study. Analyses suggest that hospitals with ...

As the New Year begins, questions surrounding how recent election results will impact technology regulation across industries loom large. It’s ...

Artificial intelligence promises to revolutionize health care. Potential benefits include ... By incorporating as much diversity as possible into the system, findings are more likely to be ...

Imagine being able to know whether plaque is building up in the arteries of your heart that could one day lead to a heart ...

“I do not believe there’s a single health system, in the United States, that’s capable of validating an AI algorithm that’s put into place in a clinical care system.” AI is already ...

Hospitals with more financial resources and technical expertise were more likely to locally test their models, suggesting a ...