Evidence map›Paper›PMID 39894601›Full record

ReviewSleep medicine clinics2025

Artificial Intelligence Can Drive Sleep Medicine.

Haoqi Sun, Ankit Parekh, Robert Joseph Thomas

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sleep medicine clinics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Sleep Medicine-What's in a Name?Journal of sleep research · 2025
    Review
  3. Article
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

3 authors.

Haoqi SunDepartment of Neurology, Beth Israel Deaconess Medical Center, DA-0815, East Campus, 330 Brookline Avenue, Boston, MA 02215, USA.
Ankit ParekhDivision of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Robert Joseph ThomasDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA. Electronic address: rthomas1@bidmc.harvard.edu.

Funding

Data-Driven Sleep Biomarkers of Brain Health, Heart Health, and MortalityR01HL161253 · BETH ISRAEL DEACONESS MEDICAL CENTER · 2025 to 2025
$2.1M
Physiology guided AI for going beyond the AHI in Sleep ApneaR01HL171813 · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2025 to 2025
$833k
Sustained Attention Neuroimaging in Sleep ApneaK25HL151912 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2022 to 2025
$613k
Development and use of SLEEPTRONIX for ambulatory assessment of sleep, temperature, and cortisolR21HL173733 · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2025 to 2025
$211k
NHLBI NIH HHS K25 HL151912NHLBI NIH HHS R01 HL161253NHLBI NIH HHS R01 HL171813NHLBI NIH HHS R21 HL165320NHLBI NIH HHS R21 HL173733
6 · The paper itself

Abstract

This article explores the transformative role of artificial intelligence (AI) in sleep medicine, highlighting its applications in detecting sleep microstructure patterns and integrating novel metrics. AI enhances diagnostic accuracy and objectivity, addressing inter-rater variability. AI also facilitates the classification of sleep disorders and the prediction of health outcomes. AI can drive sleep medicine to achieve deeper insights into sleep's impact on health, leading to personalized treatment strategies and improved patient care.

Indexed as

Artificial IntelligenceSleepSleep Medicine SpecialtySleep Wake DisordersHumansArtificial intelligenceBrain healthSleep apneaSleep-disordered breathingSleep medicineSleep staging

Identifiers

PMID39894601
PMCPMC11829804

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.