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

Journal: Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
PMID: 38533757

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 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 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 3 pivotal areas in sleep medicine that 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.

Authors

  • Anuja Bandyopadhyay
    Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA. anubandy@iupui.edu.
  • Margarita Oks
    Department of Medicine, Northwell Health System, New York, New York.
  • Haoqi Sun
    Neurology Department, Massachusetts General Hospital, Wang 720, Boston, MA, USA.
  • Bharati Prasad
    Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
  • Sam Rusk
    EnsoData Research, EnsoData, Madison, Wisconsin.
  • Felicia Jefferson
    Biology Academic Department, Fort Valley State University, Fort Valley, GA 31030, USA.
  • Roneil Gopal Malkani
    Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Shahab Haghayegh
    Department of Biomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, USA. Electronic address: shahab@utexas.edu.
  • Ramesh Sachdeva
    Children's Hospital of Michigan and Central Michigan University College of Medicine, Detroit, Michigan.
  • Dennis Hwang
    Southern California Permanente Medical Group, Los Angeles, California.
  • Jon Agustsson
    Nox Research, Nox Medical ehf, Reykjavik, Iceland.
  • Emmanuel Mignot
    Center for Sleep Sciences and Medicine, Stanford School of Medicine, Palo Alto, CA, USA.
  • Michael Summers
    Division of Pulmonary, Critical Care, and Sleep Medicine, University of Nebraska Medical Center, Omaha, Nebraska.
  • Daniel Fabbri
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Maryann Deak
    eviCore healthcare, Boston, Massachusetts.
  • Matthew Anastasi
    American Academy of Sleep Medicine, Darien, Illinois.
  • Andrew Sampson
    American Academy of Sleep Medicine, Darien, Illinois.
  • Steve Van Hout
    American Academy of Sleep Medicine, Darien, Illinois.
  • Azizi Seixas
    Department of Informatics and Health Data Science, University of Miami Miller School of Medicine, Coral Gables, Florida.

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