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Kyulee Jeon1, Woo Yeon Park, Charles E Kahn

  • 1From the Department of Biomedical Systems Informatics, Yonsei University, Seoul, South Korea (K.J., S.C.Y.); Institution for Innovation in Digital Healthcare, Yonsei University, Seoul, South Korea (K.J., S.C.Y.); Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, MD (W.Y.P., P.N.); Department of Radiology, University of Pennsylvania, Philadelphia, PA (C.E.K.); and Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea (S.H.Y.).

PubMed
概括

通过OMOP共同数据模型标准化医学成像数据,对于推动放射学领域的人工智能 (AI) 发展至关重要. 这种方法增强了数据的互操作性,使全球合作和可重复的AI开发成为可能.

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