Research map: Disease-focused evaluation of AI-ECG tools: clarifying study design, findings, and the principles of open science

Back to the article

Papers in this map

  1. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI · Baptiste Vasey · 2022 · 859 citations · Cited by this paper
  2. Interpretable machine learning models for predicting perioperative myocardial injury in non-cardiac surgery · 2026 · Related
  3. Automated multilabel diagnosis on electrocardiographic images and signals · Veer Sangha · 2022 · 124 citations · Cited by this paper
  4. Development and validation of clinical prediction models for personalized renal function monitoring in people with heart failure in primary care: the RENAL-HF study protocol · 2026 · Related
  5. Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance · Ben Van Calster · 2025 · 97 citations · Cited by this paper
  6. Large language model–based simulated patient training for heart failure palliative care communication: a pilot study · 2026 · Related
  7. Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images · Lovedeep Singh Dhingra · 2025 · 53 citations · Cited by this paper
  8. Cardiology hospital admission risk prediction: training, internal validation and technical implementation in the electronic health record · 2026 · Related
  9. Patient-Level Artificial Intelligence–Enhanced Electrocardiography in Hypertrophic Cardiomyopathy · Konstantinos C. Siontis · 2023 · 26 citations · Cited by this paper
  10. Smarter FoCUS: AI-guided focused cardiac ultrasound enables novice detection of left ventricular dysfunction · 2026 · Related
  11. A Multicenter Evaluation of the Impact of Therapies on Deep Learning-Based Electrocardiographic Hypertrophic Cardiomyopathy Markers · Lovedeep Singh Dhingra · 2024 · 17 citations · Cited by this paper
  12. Artificial intelligence in breaking the learning curve for echocardiography: a secondary analysis of a multicentre trial · 2026 · Related
  13. Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning · Veer Sangha · 2025 · 17 citations · Cited by this paper
  14. Developing and validating an artificial intelligence-based electronic triage model for predicting clinical outcomes among cardiac-suspected patients in the emergency department · 2026 · Related
  15. Evaluation of artificial intelligence-based electrocardiogram analysis tools in patients with hypertrophic cardiomyopathy · Gamze Babür Güler · 2026 · 5 citations · Cited by this paper
  16. Retinal photographs to predict life’s essential 8 for cardiovascular risk stratification: a novel deep-learning-based tool · 2026 · Related
  17. Untitled · Cited by this paper

Source: OpenAlex (CC0)