Deep learning discrimination of rheumatoid arthritis from osteoarthritis on hand radiography.

Journal: Skeletal radiology
Published Date: Aug 2, 2023

Abstract

PURPOSE: To develop a deep learning model to distinguish rheumatoid arthritis (RA) from osteoarthritis (OA) using hand radiographs and to evaluate the effects of changing pretraining and training parameters on model performance.

Authors

  • Yuntong Ma
    State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
  • Ian Pan
    Warren Alpert Medical School, Brown University, Providence, RI.
  • Stanley Y Kim
    Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
  • Ged G Wieschhoff
    Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
  • Katherine P Andriole
    Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (W.F.W., M.T.C., K.M., S.A.G., E.G., M.H.R., G.C.G., K.P.A.); and MGH & BWH Center for Clinical Data Science, Boston, Mass (W.F.W., M.T.C., K.M., K.P.A.).
  • Jacob C Mandell
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Keywords

External Resources

Popular Topics
Recent Journals