Peer-Reviewed Publication
J Clin Sleep Med2024;20(7):1183-1191.July 1, 2024Journal Article
Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary.
Anuja Bandyopadhyay1, Margarita Oks2, Haoqi Sun3, Bharati Prasad4, Sam Rusk5, Felicia Jefferson6, Roneil Gopal Malkani7,8, Shahab Haghayegh9, Ramesh Sachdeva10, Dennis Hwang11, Jon Agustsson12, Emmanuel Mignot13, Michael Summers14, Daniel Fabbri15, Maryann Deak16, Matthew Anastasi17, Andrew Sampson17, Steve Van Hout17, Azizi Seixas18
1Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana.
2Department of Medicine, Northwell Health System, New York, New York.
3Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
4Department of Medicine, University of Illinois, Chicago, Illinois.
5EnsoData Research, EnsoData, Madison, Wisconsin.
6Department of Biochemistry and Molecular Biology, University of Nevada, Reno, Nevada.
7Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
8Neurology Service, Jesse Brown Veterans Affairs Medical Center, Chicago, Illinois.
9Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
10Children's Hospital of Michigan and Central Michigan University College of Medicine, Detroit, Michigan.
11Kaiser Permanente Southern California, Los Angeles, California.
12Nox Research, Nox Medical ehf, Reykjavik, Iceland.
13Stanford University, School of Medicine, Stanford, California.
14Division of Pulmonary, Critical Care, and Sleep Medicine, University of Nebraska Medical Center, Omaha, Nebraska.
15Vanderbilt University, Nashville, Tennessee.
16eviCore Healthcare, Boston, Massachusetts.
17American Academy of Sleep Medicine, Darien, Illinois.
18Department of Informatics and Health Data Science, University of Miami Miller School of Medicine, Miami, Florida.
Abstract
UNLABELLED: Over the past few years, artificial intelligence (AI) has emerged as a powerful tool used to efficiently automate several tasks across multiple domains. Sleep medicine is perfectly positioned to leverage this tool due to the wealth of physiological signals obtained through sleep studies or sleep tracking devices and abundance of accessible clinical data through electronic medical recor…
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