Evidence map›Paper›PMID 40281567›Full record

ArticleJournal of cardiovascular imaging2025

Utilizing deep learning for accurate assessment of aortic valve stenosis: case series for clinical applications.

Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E Yoon

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cardiovascular imaging, 2025. 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. Comprehensive aortic stenosis characterization using multi-view deep learning.medRxiv : the preprint server for health sciences · 2025
    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

4 authors.

Jiesuck ParkCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Jiyeon KimOntact Health Inc, Seoul, Republic of Korea.
Jaeik JeonOntact Health Inc, Seoul, Republic of Korea.
Yeonyee E YoonCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea. yeonyeeyoon@snubh.org.

Funding

Institute of Information & communications Technology Planning & Evaluation (IITP) No.2022000972Medical AI Clinic Program through the NIPA funded by the MSIT No.: H0904-24-1002
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Aortic stenosisArtificial intelligenceDeep learningEchocardiography

Identifiers

PMID40281567
PMCPMC12023574

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.