Using machine learning to improve cardiac arrhythmia mapping and treatment workflows

A machine learning-based system addresses the customization needs of cardiac mapping and ablation systems by predicting user preferences and generating personalized interfaces, enhancing workflow efficiency and accuracy in arrhythmia treatment.

JP7877619B2Active Publication Date: 2026-06-23BIOSENSE WEBSTER (ISRAEL) LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
BIOSENSE WEBSTER (ISRAEL) LTD
Filing Date
2021-08-05
Publication Date
2026-06-23

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Abstract

To provide a physician and / or clinical account specialist CAS with GUIs that are specific to the needs and intuition.SOLUTION: In a system 100, a memory 162 stores processor-executable program instructions of a mapping engine 101, and a processor 161 executes the program instructions of the mapping engine to cause the system to receive information with respect to initiating a medical procedure for a patient. The information includes health demographics and biometric data of the patient. The processor executes the program instructions of the mapping engine 101 to also cause the system to predict workflow preferences for users performing the medical procedure from the information by employing a model of the mapping engine and to generate, using the workflow preferences, image display options for the users for presentation by the system.SELECTED DRAWING: Figure 1
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