Artificial Intelligence in Sleep Medicine: A New Epoch Dawns
Obstructive Sleep Apnea: A Multidisciplinary Approach, Page: 551-573
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Sleep medicine has become increasingly digitized within the last 25 years, but the resulting potential of such computerization both within and beyond the sleep center is only now coming into focus. Massive volumes of data are acquired nightly across the United States, most of it to be surveyed only once in assessment of a single patient as a snap shot of their sleep pathophysiology, rarely to be examined again. Digital monitoring devices, wearable sleep trackers, and smartphone apps are increasingly used, but their data is yet to be systematically integrated in clinical decision-making. Artificial intelligence (AI) will revolutionize sleep disorders medicine at both the patient and the population level. The rapid advances of AI within sleep medicine demand greater engagement of the sleep specialist with AI as both clinicians and technology forge new frontiers in our field.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85209958120&origin=inward; http://dx.doi.org/10.1007/978-3-031-35225-6_34; https://link.springer.com/10.1007/978-3-031-35225-6_34; https://dx.doi.org/10.1007/978-3-031-35225-6_34; https://link.springer.com/chapter/10.1007/978-3-031-35225-6_34
Springer Science and Business Media LLC
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