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Why medical AI and value-based care can be made for each other
Tennessee

Why medical AI and value-based care can be made for each other

At last count, the Food and Drug Administration has approved 950 medical devices that use artificial intelligence and machine learning. But far fewer have had a significant impact on patient care in the United States.

This is a problem for medical AI developers like James Zou. The Stanford professor is investing in adopting effective medical machine learning techniques — including some of his own FDA-approved algorithms — into healthcare systems.

In two recent articles, Zou examined the clinical adoption of medical AI devices and found that a tiny minority of FDA-approved devices are reimbursed at some level – and examined different models for how health systems might pay for medical AI.

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