Decoding Artificial Intelligence to Achieve Diagnostic Excellence: Learning From Experts, Examples, and Experience
Jonathan H Chen, Gurpreet Dhaliwal, Daniel Yang
JAMA . 2022 Aug 1. doi: 10.1001/jama.2022.13735. Online ahead of print.
Clinical decision support systems that use artificial intelligence (AI) to improve diagnostic accuracy, efficiency, and safety have long been aspirational goals for computer scientists and clinicians. Yet diagnostic AI development has seen multiple cycles of inflated peaks of expectations followed by troughs of disillusionment. Clinicians are understandably wary of embracing new diagnostic AI solutions without understanding how they work and relate to their existing practice.
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