在放射学中评估AI算法偏差的陷和最佳实践

Paul H Yi¹, Preetham Bachina¹, Beepul Bharti¹+8

• ¹From the Department of Radiology, St Jude Children's Research Hospital, 262 Danny Thomas Pl, Memphis, TN 38105-3678 (P.H.Y.); Johns Hopkins University School of Medicine, Baltimore, Md (P.B.); Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Md (B.B., J.S.); Uniformed Services University of the Health Sciences, Bethesda, Md (S.P.G.); Institute for Health Computing, University of Maryland School of Medicine, Baltimore, Md (A.K., P.K.); Department of Medical Imaging, Western University Schulich School of Medicine & Dentistry, London, Ontario, Canada (D.L.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, Tex (V.S.P.); Drexel University School of Medicine, Philadelphia, Pa (S.M.S.); and Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.).