A paper from the Qualcomm Institute at the University of California San Diego discusses the lack of a standardized approval process for artificial intelligence products in health care. The study focuses on a recent White House executive order directing the Department of Health and Human Services to create AI-specific regulatory strategies for equity, safety, privacy and quality in health care.
The researchers argue AI tools should demonstrate clinically significant improvements in patient outcomes before widespread adoption, citing a case of an AI-powered sepsis prediction model that failed to identify 67% of patients who developed sepsis. The study recommends revising the executive order to prioritize patient outcomes in the regulation of AI products, similar to the evaluation process for pharmaceuticals.
The researchers emphasize the importance of a patient outcomes-centric approach to ensure AI applications in health care genuinely enhance people's lives.
Full Story: Science Daily
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