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How Should AI Be Developed, Validated, and Implemented in Patient Care?
Michael Anderson1, Susan Leigh Anderson2
1A professor emeritus of computer science at the University of Hartford in West Hartford, Connecticut.
Abstract:
Should an artificial intelligence (AI) program that appears to have a better success rate than human pathologists be used to replace or augment humans in detecting cancer cells? We argue that some concerns-the "black-box" problem (ie, the unknowability of how output is derived from input) and automation bias (overreliance on clinical decision support systems)-are not significant from a patient's perspective but that expertise in AI is required to properly evaluate test results.
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