What question did this study set out to answer?

To identify and evaluate artificial intelligence-based models predicting episodes of ventricular tachycardia.

March 4, 2026Cochrane library0 citations

Artificial intelligence-enabled electrocardiography to predict impending episodes of ventricular tachycardia in individuals under continuous heart rhythm monitoring

PPPanteleimon PantelidisElectrophysiology EOEvangelos OikonomouSotiria General Hospital TPTheo PapaioannouNational and Kapodistrian University of Athens

Resultado clave

This protocol outlines plans to evaluate AI models predicting ventricular tachycardia from continuous ECGs but presents no results yet.

Puntos clave

To identify and evaluate artificial intelligence-based models predicting episodes of ventricular tachycardia.
Protocol for Cochrane Review
Focus on prognostic models
Include development and validation studies
AIM to uncover effective AI techniques
Evaluate current AI applications for ECG analysis
Potential improvements in monitoring outcomes

PICO estructurado

Do AI-based prognostic models accurately predict impending episodes of ventricular tachycardia from continuous surface ECG recordings in individuals at elevated risk?

Población

Individuals at elevated risk for ventricular arrhythmias due to any relevant underlying condition under continuous heart rhythm monitoring

Intervención

AI-based prognostic models using continuous surface electrocardiogram (ECG) recordings

Resultado

Impending episodes of ventricular tachycardia

This Cochrane Review protocol outlines the planned evaluation of AI-based prognostic models for predicting impending ventricular tachycardia from continuous ECG recordings.

Resultado numérico

Tasa de eventos absoluta: 0% vs 0%

Resumen

This is a protocol for a Cochrane Review (prognosis). The objectives are as follows: To identify and evaluate AI-based prognostic models, in development and external validation studies, which predict impending episodes of ventricular tachycardia from continuous surface electrocardiogram (ECG) recordings in individuals at elevated risk for ventricular arrhythmias due to any relevant underlying condition.

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Cite This Study

Pantelidis et al. (Mon,) reported a other. This protocol outlines plans to evaluate AI models predicting ventricular tachycardia from continuous ECGs but presents no results yet.

synapsesocial.com/papers/69a7ccb2d48f933b5eed86ab https://doi.org/https://doi.org/10.1002/14651858.cd016334

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