Evidence map›Paper›PMID 41671846›Full record

ArticleSleep medicine2026

Evaluation of an automated sleep apnea scoring algorithm via the Wesper Lab home sleep apnea test.

Chelsie Rohrscheib, Antonio Artur Moura, Janna Raphelson, Jeremy E Orr, Ruchir P Patel, Atul Malhotra

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Chelsie RohrscheibWesper Inc., 234 5th Avenue, 10001, NY, USA. Electronic address: chelsie@wesper.co.
Antonio Artur MouraWesper Inc., 234 5th Avenue, 10001, NY, USA.
Janna RaphelsonUC San Diego Department of Medicine, 9300 Campus Point Drive, La Jolla, 92037, CA, USA.
Jeremy E OrrUC San Diego Department of Medicine, 9300 Campus Point Drive, La Jolla, 92037, CA, USA.
Ruchir P PatelInsomnia and Sleep Institute of Arizona, 8330 E Hartford Dr Suite 100, Scottsdale, 85255, AZ, USA.
Atul MalhotraUC San Diego Department of Medicine, 9300 Campus Point Drive, La Jolla, 92037, CA, USA.

Funding

Is Obstructive Sleep Apnea Important in the Development of Alzheimer's DiseaseR01AG063925 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2020 to 2024
$3.7M
Underlying mechanisms of obesity-induced obstructive sleep apneaR01HL148436 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Atul Malhotra · 2020 to 2026
$3.4M
Sleep Apnea Endophenotypes: One Size Does Not Fit AllR01HL154926 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2021 to 2025
$3.3M
The cardiovascular consequences of sleep apnea plus COPD (Overlap syndrome)R01HL166485 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Atul Malhotra · 2023 to 2026
$3.1M
VentNet: A Real-Time Multimodal Data Integration Model for Prediction of Respiratory Failure in Patients with COVID-19R01HL157985 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL, NEMATI, SHAMIM · 2022 to 2025
$2.9M
Developing a Diverse Next Generation of Leaders in Respiratory ScienceT32HL166127 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Laura Elise Crotty Alexander, Atul Malhotra · 2023 to 2026
$1.6M
The Left and Right Ventricles in Sleep Apnea with COPDF32HL176079 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RAPHELSON, JANNA · 2024 to 2025
$167k
NHLBI NIH HHS F32 HL176079NHLBI NIH HHS L30 HL175771NHLBI NIH HHS R01 HL148436NHLBI NIH HHS R01 HL154926NHLBI NIH HHS R01 HL157985NHLBI NIH HHS R01 HL166485NHLBI NIH HHS T32 HL166127NIA NIH HHS R01 AG063925
6 · The paper itself

Abstract

This study evaluated the performance of the Wesper Lab home sleep apnea test (HSAT) artificial intelligence (AI) automated scoring algorithm under both in-laboratory and real-world conditions. We conducted a multi-tiered validation using two datasets and three analyses. The primary analysis compared apnea-hypopnea index (AHI) and central apnea index (CAI) from Wesper Lab HSATs with simultaneous polysomnography (PSG) scored by blinded technologists (n = 44). The secondary analysis evaluated blinded scoring of raw Wesper Lab signals from the same 44 patients: first by a single scorer, then by two additional scorers to assess inter-scorer consistency. The tertiary analysis examined clinical HSATs (n = 139) in which algorithm-derived AHI was compared with expert rescoring across 11 independent clinics. Agreement metrics included Pearson correlation, Bland-Altman analysis, and confusion matrices. Primary analysis: the algorithm showed strong correlation with PSG for AHI (r = 0.90) and CAI (r = 0.82) with minimal bias on Bland-Altman analysis. Secondary analysis: the correlation was r = 0.95 with minimal bias. Across three scorers, correlation remained ≥0.93. Tertiary analysis: correlation was r = 0.98 with minimal bias. These findings demonstrate that the Wesper Lab autoscoring algorithm is a reliable tool for obstructive sleep apnea and central apnea event detection, supporting its role as an HSAT platform that enhances accessibility to sleep apnea diagnosis.

Indexed as

AlgorithmsArtificial IntelligencePolysomnographySleep Apnea SyndromesAdultFemaleHumansMaleMiddle AgedReproducibility of ResultsSleep Apnea, CentralSleep Apnea, ObstructiveAlgorithmsArtificial intelligenceCentral sleep apneaHome sleep apnea testObstructive sleep apneaSleep medicine

Identifiers

PMID41671846
PMCPMC12945445

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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.