Evidence map›Paper›PMID 32022674›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2020

Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement.

Cathy A Goldstein, Richard B Berry, David T Kent, David A Kristo, Azizi A Seixas, Susan Redline, M Brandon Westover, Fariha Abbasi-Feinberg, R Nisha Aurora, Kelly A Carden and 8 more

Open access · bronzeAbstract readConsensus Statement
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Artificial intelligence in sleep diagnostics for children under 2 years of age: state of the evidence and future directions.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  5. Review
  6. Article
  7. Sleep Medicine-What's in a Name?Journal of sleep research · 2025
    Review
  8. Article
  9. Artificial intelligence in sleep medicine: assessing the diagnostic precision of ChatGPT-4.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  10. Article
  11. Review
  12. Sleep and dreams: how the American Academy of Sleep Medicine and its members have shaped the future of the sleep field for 50 years.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  13. Article
  14. A case study on generative artificial intelligence to extract the fundamental sleep parameters from polysomnography notes.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  15. The Global Burden of Obstructive Sleep Apnea.Diagnostics (Basel, Switzerland) · 2025
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 16 institutions in 1 country.

Cathy A GoldsteinSleep Disorders Center, Department of Neurology, University of Michigan, Ann Arbor, Michigan.
Richard B BerryDivision of Pulmonary, Critical Care and Sleep Medicine, University of Florida, Gainesville, Florida.
David T KentDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
David A KristoUniversity of Pittsburgh, Pittsburgh, Pennsylvania.
Azizi A SeixasDepartment of Population Health, Department of Psychiatry, NYU Langone Health, New York, New York.
Susan RedlineBrigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
M Brandon WestoverNeurology Department, Massachusetts General Hospital, Boston, Massachusetts.
Fariha Abbasi-FeinbergSleep Medicine, Millennium Physician Group, Fort Myers, Florida.
R Nisha AuroraDepartment of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Kelly A CardenSaint Thomas Medical Partners - Sleep Specialists, Nashville, Tennessee.
Douglas B KirschSleep Medicine, Atrium Health, Charlotte, North Carolina.
Raman K MalhotraSleep Medicine Center, Washington University School of Medicine, St. Louis, Missouri.
Jennifer L MartinVeteran Affairs Greater Los Angeles Healthcare System, North Hills, California.
Eric J OlsonDivision of Pulmonary and Critical Care Medicine, Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota.
Kannan RamarDivision of Pulmonary and Critical Care Medicine, Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota.
Carol L RosenDepartment of Pediatrics, Case Western Reserve University, University Hospitals - Cleveland Medical Center, Cleveland, Ohio.
James A RowleyWayne State University, Detroit, Michigan.
Anita V ShelgikarSleep Disorders Center, Department of Neurology, University of Michigan, Ann Arbor, Michigan.
Mayo Clinic · USUniversity of Michigan–Ann Arbor · USAtrium Medical Cente · USBeth Israel Deaconess Medical Center · USCase Western Reserve University · USMassachusetts General Hospital · USMillennium Engineering and Integration (United States) · USNYU Langone Health · USRutgers, The State University of New Jersey · USSt. Thomas Medical Group · USUniversity of California, Los Angeles · USUniversity of Florida · USUniversity of Pittsburgh · USVanderbilt University Medical Center · USWashington University in St. Louis · USWayne State University · US

Funding

Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS107291
6 · The paper itself

Abstract

None: Sleep medicine is well positioned to benefit from advances that use big data to create artificially intelligent computer programs. One obvious initial application in the sleep disorders center is the assisted (or enhanced) scoring of sleep and associated events during polysomnography (PSG). This position statement outlines the potential opportunities and limitations of integrating artificial intelligence (AI) into the practice of sleep medicine. Additionally, although the most apparent and immediate application of AI in our field is the assisted scoring of PSG, we propose potential clinical use cases that transcend the sleep laboratory and are expected to deepen our understanding of sleep disorders, improve patient-centered sleep care, augment day-to-day clinical operations, and increase our knowledge of the role of sleep in health at a population level.

Indexed as

Artificial IntelligenceSleep Wake DisordersAcademies and InstitutesHumansPolysomnographySleepUnited States

Identifiers

PMID32022674
PMCPMC7161449
OpenAlexW3005101179

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.