AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
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| Title: | AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging. |
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| Authors: | Hadjiiski L; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Cha K; U.S. Food and Drug Administration, Silver Spring, Maryland, USA., Chan HP; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Drukker K; Department of Radiology, University of Chicago, Chicago, Illinois, USA., Morra L; Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy., Näppi JJ; 3D Imaging Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA., Sahiner B; U.S. Food and Drug Administration, Silver Spring, Maryland, USA., Yoshida H; 3D Imaging Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA., Chen Q; Department of Radiation Medicine, University of Kentucky, Lexington, Kentucky, USA., Deserno TM; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany., Greenspan H; Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv, Israel & Department of Radiology, Ichan School of Medicine, Tel Aviv University, Mt Sinai, New York, New York, USA., Huisman H; Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands., Huo Z; Tencent America, Palo Alto, California, USA., Mazurchuk R; Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA., Petrick N; U.S. Food and Drug Administration, Silver Spring, Maryland, USA., Regge D; Radiology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.; Department of Surgical Sciences, University of Turin, Turin, Italy., Samala R; U.S. Food and Drug Administration, Silver Spring, Maryland, USA., Summers RM; Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Maryland, USA., Suzuki K; Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan., Tourassi G; Oak Ridge National Lab, Oak Ridge, Tennessee, USA., Vergara D; Department of Radiology, Yale New Haven Hospital, New Haven, Connecticut, USA., Armato SG 3rd; Department of Radiology, University of Chicago, Chicago, Illinois, USA. |
| Source: | Medical physics [Med Phys] 2023 Feb; Vol. 50 (2), pp. e1-e24. Date of Electronic Publication: 2023 Jan 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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