The recent adoption of artificial intelligence (AI) in radiology raises important questions regarding radiologists' malpractice liability. While discussions often focus on algorithm performance, empirical evidence suggests that workflow design and contextual factors may be equally important. We conducted a series of ex...
Grayson L. Baird· Emerging Topics in Artificia...· 0 citations
Six major knowledge-gap domains in applying artificial intelligence in clinical settings are identified, including ensuring that clinical AI supports diagnostic decision-making, integrates into clinical workflows, and mitigates risks related to automation bias, overreliance, fragmentation of care, and unintended conseq...
E. Patterson, Grayson L. Baird, David Bates et al.· Diagnosis· 0 citations
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