Comprehensiveness, Accuracy, and Readability of Exercise Recommendations Provided by an AI-Based Chatbot: Mixed Methods Study.

Journal: JMIR medical education
Published Date: Jan 11, 2024

Abstract

BACKGROUND: Regular physical activity is critical for health and disease prevention. Yet, health care providers and patients face barriers to implement evidence-based lifestyle recommendations. The potential to augment care with the increased availability of artificial intelligence (AI) technologies is limitless; however, the suitability of AI-generated exercise recommendations has yet to be explored.

Authors

  • Amanda L Zaleski
    Clinical Evidence Development, Aetna Medical Affairs, CVS Health Corporation, Hartford, CT, United States.
  • Rachel Berkowsky
    Department of Kinesiology, University of Connecticut, Storrs, CT, United States.
  • Kelly Jean Thomas Craig
    K.J.T. Craig is lead director, Clinical Evidence Development, Aetna Medical Affairs, CVS Health. At the time this work was completed, the author was deputy chief science officer of evidence-based practice, Center for AI, Research, and Evaluation, IBM Watson Health, Cambridge, Massachusetts; ORCID: https://orcid.org/0000-0002-9954-2795 .
  • Linda S Pescatello
    Department of Kinesiology, University of Connecticut, Storrs, CT, United States.

Keywords

External Resources

Popular Topics
Recent Journals