Randomized Clinical Trials of Machine Learning Interventions in Health Care: A Systematic Review.

Journal: JAMA network open
Published Date: Sep 1, 2022

Abstract

IMPORTANCE: Despite the potential of machine learning to improve multiple aspects of patient care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a prerequisite to large-scale clinical adoption of an intervention, and important questions remain regarding how machine learning interventions are being incorporated into clinical trials in health care.

Authors

  • Deborah Plana
    Harvard Medical School, Boston, Massachusetts.
  • Dennis L Shung
    Section of Digestive Diseases, Department of Medicine, Yale School of Medicine, New Haven, USA. dennis.shung@yale.edu.
  • Alyssa A Grimshaw
    Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, Connecticut.
  • Anurag Saraf
    Department of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.
  • Joseph J Y Sung
    Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
  • Benjamin H Kann
    Artificial Intelligence in Medicine (AIM) Program, Harvard Medical School, Boston, Massachusetts, USA.

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