Matthew A Reyna, Elaine O Nsoesie, Gari D Clifford
JAMA . 2022 Jul 26;328(4):329-330. doi: 10.1001/jama.2022.10561.
The promise of artificial intelligence (AI) to improve and reduce inequities in access, quality, and appropriateness of high-quality diagnosis remains largely unfulfilled. Vast clinical data sets, extensive computational capacity, and highly developed and accessible machine-learning tools have resulted in numerous publications that describe high-performing algorithmic approaches for a variety of diagnostic tasks. However, such approaches remain largely unadopted in clinical practice.
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