Share:
Peer-Reviewed Publication
Sleep Med Rev2021;59101512.October 1, 2021Journal Article

Artificial intelligence and sleep: Advancing sleep medicine.

Nathaniel F Watson1, Christopher R Fernandez2
1Department of Neurology, University of Washington (UW) School of Medicine, USA; UW Medicine Sleep Center, USA. Electronic address: nwatson@uw.edu.
2EnsoData, USA.

Abstract

Artificial intelligence (AI) allows analysis of "big data" combining clinical, environmental and laboratory based objective measures to allow a deeper understanding of sleep and sleep disorders. This development has the potential to transform sleep medicine in coming years to the betterment of patient care and our collective understanding of human sleep. This review addresses the current state of…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.