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Strengths, weaknesses, opportunities and threats of using AI-enabled technology in sleep medicine: a commentary

2024; American Academy of Sleep Medicine; Volume: 20; Issue: 7 Linguagem: Inglês

10.5664/jcsm.11132

1550-9397

Anuja Bandyopadhyay, Margarita Oks, Haoqi Sun, Bharati Prasad, Sam Rusk, Felicia Jefferson, Roneil G. Malkani, Shahab Haghayegh, Ramesh Sachdeva, Dennis Hwang, Jón S. Ágústsson, Emmanuel Mignot, Michael Summers, Daniel Fabbri, Maryann C. Deak, Matthew Anastasi, Andrew Sampson, Steve Van Hout, Azizi Seixas,

Obstructive Sleep Apnea Research

Free AccessSpecial ArticlesStrengths, weaknesses, opportunities and threats of using AI-enabled technology in sleep medicine: a commentary Anuja Bandyopadhyay, MD, Margarita Oks, MD, Haoqi Sun, PhD, Bharati Prasad, MD, Sam Rusk, Felicia Jefferson, PhD, Roneil Gopal Malkani, MD, Shahab Haghayegh, PhD, Ramesh Sachdeva, MD, Dennis Hwang, MD, Jon Agustsson, PhD, Emmanuel Mignot, MD, PhD, Michael Summers, MD, Daniel Fabbri, PhD, Maryann Deak, MD, Matthew Anastasi, RPSGT, Andrew Sampson, Steve Van Hout, MBA, CAE, Azizi Seixas, PhD Anuja Bandyopadhyay, MD Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN , Margarita Oks, MD Department of Medicine, Northwell Health System, New York, NY , Haoqi Sun, PhD Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA , Bharati Prasad, MD Department of Medicine, University of Illinois, Chicago, IL , Sam Rusk EnsoData Research, EnsoData, Madison, WI , Felicia Jefferson, PhD Department of Biochemistry and Molecular Biology, University of Nevada, Reno, NV , Roneil Gopal Malkani, MD Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL Neurology Service, Jesse Brown Veterans Affairs Medical Center, Chicago, IL , Shahab Haghayegh, PhD Brigham and Women's Hospital and Harvard Medical School, Boston, MA , Ramesh Sachdeva, MD Children's Hospital of Michigan and Central Michigan University College of Medicine, Detroit, MI , Dennis Hwang, MD Kaiser Permanente Southern California, Los Angeles, CA , Jon Agustsson, PhD Nox Research, Nox Medical ehf, Reykjavik, Iceland , Emmanuel Mignot, MD, PhD Stanford University, School of Medicine, Stanford, CA , Michael Summers, MD Division of Pulmonary, Critical Care, and Sleep Medicine, University of Nebraska Medical Center, Omaha, NE , Daniel Fabbri, PhD Vanderbilt University, Nashville, TN , Maryann Deak, MD eviCore Healthcare Boston, MA , Matthew Anastasi, RPSGT American Academy of Sleep Medicine, Darien, IL , Andrew Sampson American Academy of Sleep Medicine, Darien, IL , Steve Van Hout, MBA, CAE American Academy of Sleep Medicine, Darien, IL , Azizi Seixas, PhD Department of Informatics and Health Data Science, University of Miami Miller School of Medicine, Miami, FL Published Online:March 27, 2024https://doi.org/10.5664/jcsm.11132SectionsEpubPDF ShareShare onFacebookTwitterLinkedInRedditEmail ToolsAdd to favoritesDownload CitationsTrack Citations AboutAbstractOver 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 records. However, caution must be applied when utilizing AI, due to intrinsic challenges associated with novel technology. The Artificial Intelligence in Sleep Medicine committee of the American Academy of Sleep Medicine (AASM) reviews advancements in AI within the sleep medicine field. In this article, the Artificial Intelligence in Sleep Medicine committee members provide a commentary on the scope of AI technology in sleep medicine. The commentary identifies three pivotal areas in sleep medicine which can benefit from AI technologies: clinical care, lifestyle management and population health management. This article provides a detailed analysis of the strengths, weaknesses, opportunities, and threats associated with using AI enabled technologies in each pivotal area. Finally, the article broadly reviews barriers and challenges associated with using AI enabled technologies and offers possible solutions. Next article FiguresReferencesRelatedDetails ISSN (print): 1550-9389ISSN (online): 1550-9397Frequency: Monthly Metrics History Published onlineMarch 27, 2024 Information© 2024 American Academy of Sleep MedicineKeywordsartificial intelligencesleep medicinePDF download