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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (86) Chatbots and Conversational Agents (543) Generative Language Models Including ChatGPT (325) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (109) Health Informatics Education and Training (55)

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 (3) Tweetations (5) Metrics

Journals

  1. Atkinson L, Chase P, Smith W, Whitsel L. Emerging Health Technologies. ACSM'S Health & Fitness Journal 2024;28(5):44 View
  2. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View
  3. Teoman A, Serefoglu E. Artificial Intelligence-Based Clinical Decision-Making in Erectile Dysfunction: a Narrative Review. Current Urology Reports 2025;26(1) View