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

Formative Evaluation of Digital Health Interventions (2823) Chatbots and Conversational Agents (633) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Infodemiology and Infoveillance (1456) Theme Issue 2022: Chatbots and COVID-19 (42) Insomnia and Sleep Hygiene (208) Artificial Intelligence (1740) Sleep Monitoring, Sleep Quality, Sleep Disorders (227)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55762, first published .
Assessing the Accuracy of Generative Conversational Artificial Intelligence in Debunking Sleep Health Myths: Mixed Methods Comparative Study With Expert Analysis

Assessing the Accuracy of Generative Conversational Artificial Intelligence in Debunking Sleep Health Myths: Mixed Methods Comparative Study With Expert Analysis

Assessing the Accuracy of Generative Conversational Artificial Intelligence in Debunking Sleep Health Myths: Mixed Methods Comparative Study With Expert Analysis

Authors of this article:

Nicola Luigi Bragazzi1, 2, 3 Author Orcid Image ;   Sergio Garbarino2, 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (5) Metrics

Journals

  1. Garbarino S, Bragazzi N. Evaluating the effectiveness of artificial intelligence‐based tools in detecting and understanding sleep health misinformation: Comparative analysis using Google Bard and OpenAI ChatGPT‐4. Journal of Sleep Research 2024;33(6) View
  2. Garbarino S, Bragazzi N. Revolutionizing Sleep Health: The Emergence and Impact of Personalized Sleep Medicine. Journal of Personalized Medicine 2024;14(6):598 View
  3. Bragazzi N, Garbarino S. Toward Clinical Generative AI: Conceptual Framework. JMIR AI 2024;3:e55957 View
  4. Gondode P, Mahor V, Rani D, Ramkumar R, Yadav P. Debunking Palliative Care Myths: Assessing the Performance of Artificial Intelligence Chatbots (ChatGPT vs. Google Gemini). Indian Journal of Palliative Care 2024;30:284 View
  5. 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
  6. Bragazzi N, Garbarino S. The Complex Interaction Between Sleep-Related Information, Misinformation, and Sleep Health: Call for Comprehensive Research on Sleep Infodemiology and Infoveillance. JMIR Infodemiology 2024;4:e57748 View
  7. López-Riolobos C, Riestra-Ayora J, Raboso Moreno B, Lebrato Rubio N, Diaz García J, Vaduva C, Astudillo Rodríguez I, Saldaña Pérez L, García Prieto F, Calero Pardo S, Abad Fernández A. Evaluation of the Applicability of ChatGPT in Patient Education on Obstructive Sleep Apnea. Journal of Respiration 2025;5(1):3 View
  8. Tunga Y, Geriş A, Çelik B. Artificial Intelligence Myths: Prevalence Among Turkish University Students and Comparative Analysis of ChatGPT Responses. Participatory Educational Research 2025;12(3):292 View