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Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine.

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作者单位: Sage Bionetworks, Seattle, WA, United States.;Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States. [1] Sage Bionetworks, Seattle, WA, United States. [2] Sage Bionetworks, Seattle, WA, United States.;Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, United States. [3] Institute of Translational Health Sciences, University of Washington, Seattle, WA, United States. [4] Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States. [5] Proacta, Warsaw, Poland.;Division of Biophysics, University of Warsaw, Warsaw, Poland. [6] Proacta, Warsaw, Poland. [7] Department of Computer Science, University of Illinois at Chicago, Chicago, IL, United States. [8] Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom. [9] Plant and Molecular Sciences, School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom. [10] Department of Life Sciences, Imperial College London, London, United Kingdom. [11] Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea. [12] Department of Interdisciplinary Program in Bioinformatics, College of Informatics, Korea University, Seoul, Republic of Korea. [13] Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea.;Department of Interdisciplinary Program in Bioinformatics, College of Informatics, Korea University, Seoul, Republic of Korea. [14] Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States. [15]
DOI 10.1093/jamia/ocad159
PMID 37604111
发布时间 2024-08-22
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Journal of the American Medical Informatics Association : JAMIA

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