Evidence map›Paper›PMID 41505175›Full record

ArticleJournal of medical Internet research2026

National Institutes of Health-Funded Artificial Intelligence and Machine Learning Research, 2019-2023: Cross-Sectional Study.

Joshua Pei Le, Joseph Morrison, Atul Malhotra, Shamim Nemati, Gabriel Wardi, James S Ford

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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. 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

6 authors.

Joshua Pei Le *School of Medicine, University of Limerick, Limerick, Ireland.ORCID http://orcid.org/0000-0002-9742-6619
Joseph Morrison *School of Medicine, University of California Davis, Sacramento, CA, United States.ORCID http://orcid.org/0000-0002-6566-2406
Atul MalhotraDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0002-9509-1827
Shamim NematiDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0002-0520-4948
Gabriel WardiDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0002-4845-0217
James S Ford *Department of Emergency Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, United States, 1-404-518-8923.ORCID http://orcid.org/0000-0003-0311-0718

Funding

UC San Diego FIRST ProgramU54CA272220 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI VIVIAN REZNIK · 2022 to 2026
$21.2M
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
NCI NIH HHS U54 CA272220NHLBI NIH HHS R01 HL148436NHLBI NIH HHS R01 HL154926NHLBI NIH HHS R01 HL157985NHLBI NIH HHS R01 HL166485NIA NIH HHS R01 AG063925
6 · The paper itself

Abstract

Unlabelled: Inflation-adjusted funding for artificial intelligence and machine learning research increased by 233% between fiscal year 2019 and 2023, outpacing the overall National Institutes of Health's budget increase of 12%.

Indexed as

Artificial IntelligenceMachine LearningNational Institutes of Health (U.S.)Cross-Sectional StudiesHumansUnited StatesAIartificial intelligencemachine learningMLNational Institutes of HealthNIHresearch funding

Identifiers

PMID41505175
PMCPMC12782054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.