Performance of a Deep Learning Model vs Human Reviewers in Grading Endoscopic Disease Severity of Patients With Ulcerative Colitis.

Journal: JAMA network open
Published Date: May 3, 2019

Abstract

IMPORTANCE: Assessing endoscopic disease severity in ulcerative colitis (UC) is a key element in determining therapeutic response, but its use in clinical practice is limited by the requirement for experienced human reviewers.

Authors

  • Ryan W Stidham
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Wenshuo Liu
    Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor.
  • Shrinivas Bishu
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor.
  • Michael D Rice
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor.
  • Peter D R Higgins
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Michigan.
  • Ji Zhu
    Department of Statistics, University of Michigan, Ann Arbor, Michigan.
  • Brahmajee K Nallamothu
    From the Division of Cardiology, Department of Medicine; Cardiovascular Research Institute; Institute for Human Genetics; and Institute for Computational Health Sciences, University of California San Francisco, and California Institute for Quantitative Biosciences (R.C.D.); and VA Health Services Research and Development Center for Clinical Management Research, VA Ann Arbor Healthcare System, MI; Michigan Center for Health Analytics and Medical Prediction (M-CHAMP), Department of Internal Medicine, University of Michigan Medical School, Ann Arbor (B.K.N.).
  • Akbar K Waljee
    VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.

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