Apparatus and methods for prediction of repeat ablation efficacy

US12374438B1 · kind B1 · utility

Assignee

• Anumana, Inc. · US

Inventors

• Suthirth Vaidya · Bengaluru, IN
• Rakesh Barve · Bengaluru, IN
• Animesh Agarwal · San Francisco, US
• Samir Awasthi · Boston, US
• Murali Aravamudan · Berkeley Heights, US
• Maulik Nanavaty · Cambridge, US

Key dates

• Filing date: Aug 20, 2024
• Grant date: Jul 29, 2025
• Expiry date: Aug 20, 2044

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B2034/104
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

An apparatus and method for prediction of pulmonary vein reconnection is disclosed. The apparatus includes an electrocardiogram device, at least a processor, and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to generate ablation evaluation training data, train an ablation evaluation machine-learning model using the ablation evaluation training data, receive, from the electrocardiogram device, the electrocardiogram data, and generate, using the ablation evaluation machine-learning model, ablation evaluation data of the patient, wherein generating the ablation evaluation data of the patient includes inputting, into the ablation evaluation machine-learning model, the electrocardiogram data and receiving as output, from the ablation evaluation machine-learning model, the ablation evaluation data of the patient.