Top
image: Panchenko Vladimir/Shutterstock

Lack of AI regulatory, clinical standards pose potential risks

While artificial intelligence promises to create actionable insights for clinicians to make better care decisions for patients, the regulations and standards for evaluating AI-based algorithms are lacking.

That’s the contention of Ravi Parikh, MD, a fellow in hematology and oncology at the University of Pennsylvania’s Perelman School of Medicine, and two colleagues.

Writing in the February 22 issue of the journal Science, they make the case that evaluations of AI-based algorithms are not held to traditional clinical trial standards—and, as a result, there has been little prospective evidence that predictive analytics improve patient care.

Read More on Health Data Management