HIGHLIGHTS
SUMMARY
Machine learning (ML) has the potential to facilitate "continual learning" in medicine, in which an ML system continues to adapt and evolve in response to exposure to new data over time, even after being deployed in a clinical setting. While, to date, regulatory approvals of medical AI systems have been limited to locked systems the U.S. Food and Drug Administration (FDA) is considering regulatory approval for adaptive ML systems, which evolve as they are exposed to new data ("continuous learning"), even after the system has been deployed in a clinical setting. In some . . .
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