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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (69) Chatbots and Conversational Agents (473) Generative Language Models Including ChatGPT (218) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (84) Health Informatics Education and Training (45)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51308, first published .
Comprehensiveness, Accuracy, and Readability of Exercise Recommendations Provided by an AI-Based Chatbot: Mixed Methods Study

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

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

Authors of this article:

Amanda L Zaleski1, 2 Author Orcid Image ;   Rachel Berkowsky3 Author Orcid Image ;   Kelly Jean Thomas Craig1 Author Orcid Image ;   Linda S Pescatello3 Author Orcid Image
Article Authors Cited by Tweetations (5) Metrics

Amanda L Zaleski   1, 2 , MSc, PhD ;   Rachel Berkowsky   3 , MSc ;   Kelly Jean Thomas Craig   1 , PhD ;   Linda S Pescatello   3 , MSc, PhD

1 Clinical Evidence Development, Aetna Medical Affairs, CVS Health Corporation, Hartford, CT, United States

2 Department of Preventive Cardiology, Hartford Hospital, Hartford, CT, United States

3 Department of Kinesiology, University of Connecticut, Storrs, CT, United States

Corresponding Author:

  • Amanda L Zaleski, MSc, PhD
  • Clinical Evidence Development
  • Aetna Medical Affairs
  • CVS Health Corporation
  • 151 Farmington Avenue
  • Hartford, CT, 06156
  • United States
  • Phone: 1 8605385003
  • Email: zaleskia@aetna.com