Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement

Sleep medicine is well positioned to benefit from advances that use big data to create artificially intelligent computer programs. One obvious initial application in the sleep disorders center is the assisted (or enhanced) scoring of sleep and associated events during polysomnography (PSG). This pos...

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Bibliografiske detaljer
Udgivet i:J Clin Sleep Med
Main Authors: Goldstein, Cathy A., Berry, Richard B., Kent, David T., Kristo, David A., Seixas, Azizi A., Redline, Susan, Westover, M. Brandon, Abbasi-Feinberg, Fariha, Aurora, R. Nisha, Carden, Kelly A., Kirsch, Douglas B., Malhotra, Raman K., Martin, Jennifer L., Olson, Eric J., Ramar, Kannan, Rosen, Carol L., Rowley, James A., Shelgikar, Anita V.
Format: Artigo
Sprog:Inglês
Udgivet: American Academy of Sleep Medicine 2020
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Special Articles
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7161449/
https://ncbi.nlm.nih.gov/pubmed/32022674
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5664/jcsm.8288
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