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

Formative Evaluation of Digital Health Interventions (2491) Chatbots and Conversational Agents (543) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Theme Issue 2022: Chatbots and COVID-19 (42) Insomnia and Sleep Hygiene (177) Artificial Intelligence (1421) Sleep Monitoring, Sleep Quality, Sleep Disorders (191)

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
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