Physicians' and Machine Learning Researchers' Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study.

Journal: JMIR AI
Published Date: Oct 30, 2023

Abstract

BACKGROUND: Innovative tools leveraging artificial intelligence (AI) and machine learning (ML) are rapidly being developed for medicine, with new applications emerging in prediction, diagnosis, and treatment across a range of illnesses, patient populations, and clinical procedures. One barrier for successful innovation is the scarcity of research in the current literature seeking and analyzing the views of AI or ML researchers and physicians to support ethical guidance.

Authors

  • Jane Paik Kim
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.
  • Katie Ryan
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.
  • Max Kasun
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.
  • Justin Hogg
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.
  • Laura B Dunn
    Department of Psychiatry, University of Arkansas for Medical Sciences, Arkansas, CA, United States.
  • Laura Weiss Roberts
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.

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