Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers
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- John Mongan
- From the Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (J.M.); Department of Radiology and Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY (L.M.); and Department of Radiology, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104 (C.E.K.).
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- Linda Moy
- From the Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (J.M.); Department of Radiology and Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY (L.M.); and Department of Radiology, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104 (C.E.K.).
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- Charles E. Kahn
- From the Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (J.M.); Department of Radiology and Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY (L.M.); and Department of Radiology, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104 (C.E.K.).
収録刊行物
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- Radiology: Artificial Intelligence
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Radiology: Artificial Intelligence 2 (2), e200029-, 2020-03-01
Radiological Society of North America (RSNA)