Evidence map›Paper›PMID 41219498›Full record

ArticleNature2026

Comprehensive echocardiogram evaluation with view primed vision language AI.

Milos Vukadinovic, I-Min Chiu, Xiu Tang, Neal Yuan, Tien-Yu Chen, Paul Cheng, Debiao Li, Susan Cheng, Bryan He, David Ouyang

Abstract read
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. EchoAgent: guideline-centric reasoning agent for echocardiography measurement and interpretation.International journal of computer assisted radiology and surgery · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Optimizing point-of-care ultrasound video acquisition for probabilistic multi-task heart failure detection.International journal of computer assisted radiology and surgery · 2026
    Article
  14. Review
  15. A generalizable deep learning system for cardiac MRI.Nature biomedical engineering · 2026
    Article
  16. Article
  17. Article
  18. Automated Phenotyping of Mitral Stenosis Using Deep Learning.medRxiv : the preprint server for health sciences · 2026
    Article
  19. Article
  20. EchoVisuALL: From Echocardiography to Gene Discovery.bioRxiv : the preprint server for biology · 2026
    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

10 authors.

Milos VukadinovicDepartment of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-0431-1493
I-Min ChiuDepartment of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Xiu TangDivision of Cardiology, Department of Medicine, Stanford University, Palo Alto, CA, USA.
Neal YuanDepartment of Medicine, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-5782-7437
Tien-Yu ChenDivision of Cardiology, Department of Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Paul ChengDivision of Cardiology, Department of Medicine, Stanford University, Palo Alto, CA, USA.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Susan ChengDepartment of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-4977-036X
Bryan He *Department of Computer Science, Stanford University, Stanford, CA, USA. bryanhe@cs.stanford.edu.ORCID http://orcid.org/0000-0002-6150-761X
David Ouyang *Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. david.ouyang@kp.org.ORCID http://orcid.org/0000-0002-3813-7518

Funding

Deep Learning Based Phenotyping and Outcomes Prediction for Valvular Heart DiseaseR01HL173526 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI David Ouyang · 2024 to 2026
$2.5M
Artificial Intelligence Imaging Biomarkers of Longitudinal Cardiovascular StressR01HL173487 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI David Ouyang · 2025 to 2026
$1.4M
Deep Learning Assessment of the Right Ventricle: Function, Etiology, and PrognosisR00HL157421 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI OUYANG, DAVID · 2023 to 2025
$747k
NHLBI NIH HHS R00 HL157421NHLBI NIH HHS R01 HL173487NHLBI NIH HHS R01 HL173526
6 · The paper itself

Abstract

Echocardiography is the most widely used cardiac imaging modality, capturing ultrasound video data to assess cardiac structure and function

Identifiers

PMID41219498
PMCPMC12935550

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.