This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (37) Ethics, Privacy, and Legal Issues (458) Decision Support for Health Professionals (1145) Artificial Intelligence (1214) Adoption and Change Management of eHealth Systems (677) Machine Learning (1400) Development and Evaluation of Research Methods, Instruments and Tools (439)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47449, first published .
Physicians’ and Machine Learning Researchers’ Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study

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

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

Authors of this article:

Jane Paik Kim1 Author Orcid Image ;   Katie Ryan1 Author Orcid Image ;   Max Kasun1 Author Orcid Image ;   Justin Hogg1 Author Orcid Image ;   Laura B Dunn2 Author Orcid Image ;   Laura Weiss Roberts1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Kim J, Yang H, Kim B, Ryan K, Roberts L. Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study. JMIR Research Protocols 2024;13:e54787 View
  2. Roberts L. Addressing the Novel Implications of Generative AI for Academic Publishing, Education, and Research. Academic Medicine 2024;99(5):471 View