Empowering Sleep Health: Unleashing the Potential of Artificial Intelligence and Data Science in Sleep Disorders

Xin Zan (), Feng Liu (), Xiaochen Xian () and Panos M. Pardalos ()
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Xin Zan: University of Iowa
Feng Liu: Stevens Institute of Technology
Xiaochen Xian: Georgia Institute of Technology
Panos M. Pardalos: University of Florida

A chapter in Handbook of AI and Data Sciences for Sleep Disorders, 2024, pp 1-44 from Springer

Abstract: Abstract Sleep health, a vital component of human well-being, is often overlooked in today’s fast-paced world, leading to a surge in the prevalence of sleep disorders that affect a large global population. Sleep disorders have emerged as a pressing health concern that not only causes significant adverse impacts on patients’ health and quality of life but also places a substantial economic burden on society. The advent of the fourth industrial revolution marks the onset of a new era in sleep health, characterized by the convergence of digital technologies and unprecedented access to data related to sleep disorders. Artificial Intelligence (AI) and Data Science (DS), two pillars of this technological revolution, are poised to unleash their transformative power in the multifaceted realm of sleep disorders. The synergy of AI and DS represents a transformative opportunity to not only unravel the complex tapestry of sleep disorders but also to illuminate the path toward more precise diagnosis, personalized treatment strategies, and a deeper understanding of sleep disorders, ultimately empowering sleep health. This chapter provides an extensive review of recent advancements in the applications and methodologies of AI and DS in sleep disorders from a multitude of perspectives.

Keywords: Artificial Intelligence (AI); Data Science (DS); Sleep disorders; Applications; Methodologies (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-3-031-68263-6_1

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