Your browser doesn't support javascript.
loading
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Hadjiiski, Lubomir; Cha, Kenny; Chan, Heang-Ping; Drukker, Karen; Morra, Lia; Näppi, Janne J; Sahiner, Berkman; Yoshida, Hiroyuki; Chen, Quan; Deserno, Thomas M; Greenspan, Hayit; Huisman, Henkjan; Huo, Zhimin; Mazurchuk, Richard; Petrick, Nicholas; Regge, Daniele; Samala, Ravi; Summers, Ronald M; Suzuki, Kenji; Tourassi, Georgia; Vergara, Daniel; Armato, Samuel G.
Affiliation
  • 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.
  • Samala R; Department of Surgical Sciences, University of Turin, Turin, Italy.
  • Summers RM; U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Suzuki K; Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.
  • Tourassi G; Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan.
  • Vergara D; Oak Ridge National Lab, Oak Ridge, Tennessee, USA.
  • Armato SG; Department of Radiology, Yale New Haven Hospital, New Haven, Connecticut, USA.
Med Phys ; 50(2): e1-e24, 2023 Feb.
Article in En | MEDLINE | ID: mdl-36565447
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Diagnosis, Computer-Assisted Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Med Phys Year: 2023 Type: Article Affiliation country: United States
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Diagnosis, Computer-Assisted Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Med Phys Year: 2023 Type: Article Affiliation country: United States