Verfahren und Systeme unter Verwendung von Tiefenlernen zur Identifizierung von Lungenvenenisolierungsunantworten

Details

Veröffentlichungs-Nr.

EP4819158

Anmeldetag

2. April 2026

Veröffentlichung

7. Oktober 2026

Rechtsraum

EP

Abstract

A system trains a set of machine-learning models to predict which atrial fibrillation patients would respond to which treatments using ablation lines. The models identify an ablation line treatment for a patient based on atrial fibrillation-related features associated with the patient. The models estimate reconnection probabilities for ablation sites associated with at least one ablation line treatment. The models identify patient atrial fibrillation predictors associated with the patient, based on demographics and heart component dimension parameters associated with the patient, and use the at least one ablation line treatment, reconnection probabilities, patient atrial fibrillation predictors, and patient demographics to predict whether the patient would not respond to pulmonary vein isolation only treatment. In response to a prediction that the patient would not respond to pulmonary vein isolation only treatment, the system enables a healthcare provider to provide the at least one ablation line treatment for the patient.

Anmelder

Firma

Biosense Webster (Israel) Ltd.

Land

🇮🇱 Israel