ArticleNature medicine2019
Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.
Article in Nature medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 652 papers, 2 of them syntheses that pooled 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.
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.
Electrocardiogram-based Artificial Intelligence-assisted Detection of Heart Disease
A Study to Evaluate Accuracy and Validity of the "Chang Gung" Ventricular Systolic Dysfunction Screening Software
Cohort Study of Chronic Heart Failure
Deep Learning for Detection of Pulmonary Hypertension and Reduced Left Ventricular Ejection Fraction Using a Combined Digital Stethoscope and Three-lead Electrocardiogram
Prospective Observational Cohort Study of Deep Learning-based ECG Algorithm for Detecting Left Ventricular Systolic Dysfunction
Cor360: Clinician-Facing Broad-Spectrum Cardiac Phenotyping and Risk Assessment Using COR® Wearable ECG to Inform Outcomes-Oriented Care Pathways
Who cites it
652 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,249 citations in OpenAlex.
- Pooled it
- Artificial intelligence in cardiovascular diagnostics: a systematic review and descriptive analysis of clinical applications and diagnostic performance.BMC cardiovascular disorders · 2025Pooled it
- AI-enabled electrocardiogram alert for potassium imbalance treatment: a pragmatic randomized controlled trial.Nature communications · 2026Trial
- Detection of undiagnosed liver cirrhosis via AI-enabled electrocardiogram: a pragmatic, cluster-randomized clinical trial.Nature medicine · 2026Trial
- Trial
- Artificial Intelligence Enhanced Electrocardiogram Analysis for Age and Sex Classification in Youth.Pediatric cardiology · 2026Article
- Screening for Left Ventricular Dysfunction in Sepsis Using a Smartphone ECG Analysis Application: A Multicenter Validation Study.Journal of Korean medical science · 2026Observational
- Associations between echocardiographic traits and artificial intelligence-enabled electrocardiography predictions of heart failure.European heart journal. Digital health · 2026Article
- Transportability of an artificial intelligence electrocardiography model for structural heart disease: external validation and recalibration of EchoNext-Mini in MIMIC-IV.European heart journal. Digital health · 2026Article
- Diagnostic performance of artificial intelligence-enabled electrocardiography for pulmonary hypertension: a systematic review and meta-analysis.European heart journal. Digital health · 2026Review
- Artificial intelligence-enabled electrocardiography for detection of left ventricular diastolic dysfunction: a systematic review and meta-analysis.European heart journal. Digital health · 2026Review
- On-Device ECG and Vital-Sign Prediction of 24-Hour Mortality and Unplanned ICU Admission in Emergency Department Patients: A Retrospective Evaluation of MEDI-AI.Diagnostics (Basel, Switzerland) · 2026Article
- Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects.Signal transduction and targeted therapy · 2026Review
- Validating ECG-Based Artificial Intelligence Models for Cardiomyopathy Detection in Obstetric Patients: A Multisite International Study.JACC. Advances · 2026Article
- Diagnostic Accuracy of Artificial Intelligence-Based Electrocardiography for the Detection of Heart Diseases: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2026Review
- Wearable Devices in Cardiovascular Care: A Narrative Review of the Transition Toward Predictive, Preventive, Personalized, and Participatory Medicine.Healthcare (Basel, Switzerland) · 2026Review
- Artificial Intelligence-Enabled Electrocardiography Model for Left Ventricular Systolic and Diastolic Dysfunction Predict Incident Atrial Fibrillation in Patients with Sinus Rhythm: A Time-Dependent Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- Deep Learning Applied to 12-Lead ECGs for Detection of Structural, Metabolic and Systemic Disease.Diagnostics (Basel, Switzerland) · 2026Review
- Review
- [AI-Assisted ECG diagnostics : Classical test statistics still apply].Herzschrittmachertherapie & Elektrophysiologie · 2026Review
592 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asymptomatic left ventricular dysfunction (ALVD) is present in 3-6% of the general population, is associated with reduced quality of life and longevity, and is treatable when found
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.