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Evaluating the effectiveness of artificial intelligence-based tools in detecting and understanding sleep health

Sergio Garbarino1,2, Nicola Luigi Bragazzi1,3,4

  • 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal, Child Sciences (DINOGMI), University of Genoa, Genoa, Italy.

Journal of Sleep Research
|April 5, 2024
PubMed

Keywords:
generative conversational artificial intelligencepublic health educationreliability analysissleep disorderssleep healthsleep‐related false mythstext‐mining

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