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
Article Authors Cited by (6) Tweetations (5) Metrics

Nicola Luigi Bragazzi   1, 2, 3 , MPH, MD, PhD ;   Sergio Garbarino   2, 4 , MD, PhD

1 Human Nutrition Unit, Department of Food and Drugs, University of Parma, Parma, Italy

2 Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences, University of Genoa, Genoa, Italy

3 Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, ON, Canada

4 Post-Graduate School of Occupational Health, Università Cattolica del Sacro Cuore, Rome, Italy

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