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Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary.
Bandyopadhyay, Anuja; Oks, Margarita; Sun, Haoqi; Prasad, Bharati; Rusk, Sam; Jefferson, Felicia; Malkani, Roneil Gopal; Haghayegh, Shahab; Sachdeva, Ramesh; Hwang, Dennis; Agustsson, Jon; Mignot, Emmanuel; Summers, Michael; Fabbri, Daniel; Deak, Maryann; Anastasi, Matthew; Sampson, Andrew; Van Hout, Steve; Seixas, Azizi.
Afiliação
  • Bandyopadhyay A; Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana.
  • Oks M; Department of Medicine, Northwell Health System, New York, New York.
  • Sun H; Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
  • Prasad B; Department of Medicine, University of Illinois, Chicago, Illinois.
  • Rusk S; EnsoData Research, EnsoData, Madison, Wisconsin.
  • Jefferson F; Department of Biochemistry and Molecular Biology, University of Nevada, Reno, Nevada.
  • Malkani RG; Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Haghayegh S; Neurology Service, Jesse Brown Veterans Affairs Medical Center, Chicago, Illinois.
  • Sachdeva R; Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Hwang D; Children's Hospital of Michigan and Central Michigan University College of Medicine, Detroit, Michigan.
  • Agustsson J; Kaiser Permanente Southern California, Los Angeles, California.
  • Mignot E; Nox Research, Nox Medical ehf, Reykjavik, Iceland.
  • Summers M; Stanford University, School of Medicine, Stanford, California.
  • Fabbri D; Division of Pulmonary, Critical Care, and Sleep Medicine, University of Nebraska Medical Center, Omaha, Nebraska.
  • Deak M; Vanderbilt University, Nashville, Tennessee.
  • Anastasi M; eviCore Healthcare, Boston, Massachusetts.
  • Sampson A; American Academy of Sleep Medicine, Darien, Illinois.
  • Van Hout S; American Academy of Sleep Medicine, Darien, Illinois.
  • Seixas A; American Academy of Sleep Medicine, Darien, Illinois.
J Clin Sleep Med ; 20(7): 1183-1191, 2024 Jul 01.
Article em En | MEDLINE | ID: mdl-38533757
ABSTRACT
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. CITATION Bandyopadhyay A, Oks M, Sun H, et al. Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine a commentary. J Clin Sleep Med. 2024;20(7)1183-1191.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Medicina do Sono Limite: Humans Idioma: En Revista: J Clin Sleep Med Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Medicina do Sono Limite: Humans Idioma: En Revista: J Clin Sleep Med Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos