Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.

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Title: Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.
Authors: Kitamura F; Society of Imaging Informatics in Medicine, Leesburg, USA.; Bunkerhill Health, San Francisco, CA, USA.; Universidade Federal de São Paulo, São Paulo, Brazil., Kline T; Society of Imaging Informatics in Medicine, Leesburg, USA.; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Warren D; Carle College of Medicine, University of Illinois Urbana-Champaign, Urbana, USA., Moy L; New York University Grossman School of Medicine, New York, NY, USA., Daneshjou R; Department of Biomedical Data Science and Dermatology, Stanford School of Medicine, Stanford, CA, USA., Maleki F; Department of Computer Science, University of Calgary, Calgary, Alberta, Canada., Santos I; Ionic Health, Porto, Portugal., Gichoya J; Emory University, Atlanta, GA, USA., Wiggins W; Greensboro Radiology, Durham, NC, USA.; Department of Radiology, Duke University Health System, Durham, NC, USA., Bialecki B; American College of Radiology, Reston, VA, USA., O'Donnell K; Canon Medical Research USA, Vernon Hills, USA., Flanders AE; Thomas Jefferson University, Philadelphia, PA, USA., Morgan M; University of Utah, Salt Lake City, UT, USA., Safdar N; Society of Imaging Informatics in Medicine, Leesburg, USA.; Emory University, Atlanta, GA, USA., Andriole KP; Brigham and Women's Hospital, Harvard Medical School, Mass General Brigham AI, Boston, MA, USA., Geis R; National Jewish Health, Denver, CO, USA.; Department of Radiology, University of Colorado School of Medicine, Aurora, CO, USA., Allen B; Birmingham Radiological Group, Birmingham, AL, USA.; American College of Radiology, Data Science Institute, Reston, VA, USA., Dreyer K; American College of Radiology, Data Science Institute, Reston, VA, USA.; Mass General Brigham, Boston, MA, USA., Lungren M; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.; Department of Biomedical Science, Stanford University, Stanford, CA, USA.; Microsoft Health and Life Sciences, Mountain View, CA, USA., Wood MJ; Mount Auburn Hospital, Harvard Medical School, Cambridge, MA, USA., Kohli M; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Langer S; Society of Imaging Informatics in Medicine, Leesburg, USA.; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Shih G; Weill Cornell Medicine, New York, NY, USA., Farina E; Society of Imaging Informatics in Medicine, Leesburg, USA.; Universidade Federal de São Paulo, São Paulo, Brazil.; Dasa, São Paulo, Brazil., Kahn CE Jr; University of Pennsylvania, Philadelphia, PA, USA., Reiser I; University of Chicago, Chicago, IL, USA., Giger M; University of Chicago, Chicago, IL, USA., Wald C; Department of Radiology, Mayo Clinic, Rochester, MN, USA.; American College of Radiology, Reston, VA, USA., Mongan J; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.; Radiological Society of North America, Oak Brook, IL, USA., Cook T; University of Pennsylvania, Philadelphia, PA, USA., Tenenholtz N; Society of Imaging Informatics in Medicine, Leesburg, USA.; American College of Radiology, Data Science Institute, Reston, VA, USA.; Microsoft Research, Cambridge, MA, USA.
Source: Radiology. Artificial intelligence [Radiol Artif Intell] 2025 Nov; Vol. 7 (6), pp. e250137.
Publication Type: Journal Article
Journal Info: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:2638-6100
DOI:10.1148/ryai.250137