ArticleNature2020
Video-based AI for beat-to-beat assessment of cardiac function.
Registry-linked trialAbstract readValidation Study
In one paragraph
Article in Nature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05140642 (Blinded Randomized Controlled Trial of Artificial Intelligence Guided Assessment of Cardiac Function), which is not on this map. Cited by 432 papers, 5 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
432citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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.
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.
Blinded Randomized Controlled Trial of Artificial Intelligence Guided Assessment of Cardiac Function
Who cites it
432 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation: An Updated Checklist.JACC. Cardiovascular imaging · 2026Guideline
- Explainable artificial intelligence in medical ultrasound: a WoSCC-based bibliometric analysis, evidence map, and Scopus concordance assessment.Frontiers in medicine · 2026Pooled it
- Artificial Intelligence for Cardiovascular Risk Prediction: An Umbrella Review of Applications and Translational Challenges.Vascular health and risk management · 2026Pooled it
- From assistance to autonomy: AI agent systems in cardiovascular medicine-a review of paradigms, architectures, and clinical translation.Frontiers in cardiovascular medicine · 2026Pooled it
- Guideline for the Use of Natriuretic Peptides in the Early Diagnosis and Management of Heart Failure in Primary CareBalkan medical journal · 2025Guideline
- Artificial Intelligence-Based Automated Echocardiographic Analysis and the Workflow of Sonographers: A Randomized Crossover Trial (AI-Echo RCT).Journal of the American Heart Association · 2026Trial
- Deep learning-enabled assessment of right ventricular size and function is associated with cardiovascular outcomes.Nature cardiovascular research · 2026Article
- Advancements in echocardiography for congenital heart defects (CHDs): a literature review.Annals of medicine and surgery (2012) · 2026Review
- Point-of-care echocardiography screening for hypertrophic cardiomyopathy using automated deep-learning analysis.European heart journal. Digital health · 2026Article
- Artificial intelligence in cardiovascular medicine: a practical guide for clinicians and researchers.European heart journal. Digital health · 2026Review
- Automated echocardiographic measurements for longitudinal monitoring of ATTR cardiomyopathy: agreement and repeatability analysis.The international journal of cardiovascular imaging · 2026Article
- Weakly supervised anatomical feature learning for cross-dataset ejection fraction estimation from echocardiography videos.BMC medical imaging · 2026Article
- Synthetic Echocardiograms from Diffusion Models in Rare Cardiovascular Disease.medRxiv : the preprint server for health sciences · 2026Article
- Wearable Devices in Cardiovascular Care: A Narrative Review of the Transition Toward Predictive, Preventive, Personalized, and Participatory Medicine.Healthcare (Basel, Switzerland) · 2026Review
- Artificial intelligence-based prediction of procedural success in transcatheter mitral valve edge-to-edge repair.Echo research and practice · 2026Article
- Beyond E/e': A Physiology-Based Framework for Emerging Echocardiographic Biomarkers in the Noninvasive Assessment of Left Ventricular Filling Pressure.Echocardiography (Mount Kisco, N.Y.) · 2026Review
- Precision-guided heart failure interventions: The expanding role of advanced cardiac imaging and artificial intelligence.American heart journal plus : cardiology research and practice · 2026Review
- A Multitask Deep Learning Model for Pediatric Echocardiography Analysis.Circulation · 2026Article
- Artificial intelligence-assisted peri-operative echocardiography: a multicentre observational study.Anaesthesia · 2026Observational
- Artificial Intelligence in Echocardiography for Acute Coronary Syndromes: Current Evidence and Integration With Electrocardiography and Biomarkers.Echocardiography (Mount Kisco, N.Y.) · 2026Review
372 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
David OuyangDepartment of Medicine, Stanford University, Stanford, CA, USA. ouyangd@stanford.edu.
Bryan HeDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6150-761X
Amirata GhorbaniDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-6465-2321
Neal YuanSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Joseph EbingerSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-0587-1572
Curtis P LanglotzDepartment of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8972-8051
Paul A HeidenreichDepartment of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7730-8490
Robert A HarringtonDepartment of Medicine, Stanford University, Stanford, CA, USA.
David H LiangDepartment of Medicine, Stanford University, Stanford, CA, USA.
Euan A AshleyDepartment of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9418-9577
James Y ZouDepartment of Computer Science, Stanford University, Stanford, CA, USA. jamesz@stanford.edu.ORCID http://orcid.org/0000-0001-8880-4764
Funding
Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI ZOU, JAMES · 2018 to 2025
$4.9MDeveloping data tools to reduce CVD disparities via Health Information ExchangesR21MD012867 · NIMHD · STANFORD UNIVERSITY · PI ZOU, JAMES · 2018 to 2019
$420kNHLBI NIH HHS F32 HL149298NIA NIH HHS P30 AG059307NIH HHS R21 MD012867-01NIMHD NIH HHS R21 MD012867
Abstract
Accurate assessment of cardiac function is crucial for the diagnosis of cardiovascular disease
Indexed as
Deep LearningModels, CardiovascularVideo RecordingAtrial FibrillationDatasets as TopicEchocardiographyHeartHeart DiseasesHeart FailureHospitalsHumansProspective StudiesReproducibility of ResultsVentricular Function, Left
Identifiers
What OpenQuestion holds
Textmetadata
LicenceTDM
Read underepoch 390
Registered trials
NCT05140642ClinicalTrials.gov
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.