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

European Heart Journal. Digital Health · Published 2026-07-24 · DOI 10.1093/ehjdh/ztag120

Free full text

Authors (3)

Gamze Babur Guler, Arda Guler, Ibrahim Halil Tanboga

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Guler, G., Guler, A., Tanboga, I. (2026). Disease-focused evaluation of AI-ECG tools: clarifying study design, findings, and the principles of open science. European Heart Journal. Digital Health. https://doi.org/10.1093/ehjdh/ztag120

Related articles

• Evaluation of artificial intelligence-based electrocardiogram analysis tools in patients with hypertrophic cardiomyopathy · European Heart Journal. Digital Health · 2026 · Cites or is cited by this article · Same journal
• Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance · The Lancet: Digital Health · 2025 · Cites or is cited by this article
• Interpretable machine learning models for predicting perioperative myocardial injury in non-cardiac surgery · European Heart Journal. Digital Health · 2026 · Same journal
• 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 · European Heart Journal. Digital Health · 2026 · Same journal
• Large language model–based simulated patient training for heart failure palliative care communication: a pilot study · European Heart Journal. Digital Health · 2026 · Same journal
• Cardiology hospital admission risk prediction: training, internal validation and technical implementation in the electronic health record · European Heart Journal. Digital Health · 2026 · Same journal
• Smarter FoCUS: AI-guided focused cardiac ultrasound enables novice detection of left ventricular dysfunction · European Heart Journal. Digital Health · 2026 · Same journal
• Artificial intelligence in breaking the learning curve for echocardiography: a secondary analysis of a multicentre trial · European Heart Journal. Digital Health · 2026 · Same journal
• Developing and validating an artificial intelligence-based electronic triage model for predicting clinical outcomes among cardiac-suspected patients in the emergency department · European Heart Journal. Digital Health · 2026 · Same journal
• Retinal photographs to predict life’s essential 8 for cardiovascular risk stratification: a novel deep-learning-based tool · European Heart Journal. Digital Health · 2026 · Same journal