Patent ID: 11896432
Assignee: VEKTOR MEDICAL, INC.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A

Claim 21:
22. A method performed by one or more computing systems for identifying a reentrant circuit characteristic of a reentrant circuit of a heart, the method comprising:
accessing a subject image of a subject reentrant circuit of a subject;
accessing a reentry machine learning (RML) model for identifying a reentrant circuit characteristic based on tissue characteristics relating to scar tissue and border zone tissue identified from the subject image, the RML model being trained using training data that includes, for each of a plurality of simulated reentrant circuits, simulated tissue characteristics relating to simulated scar tissue and simulated border zone tissue of that simulated reentrant circuit that is labeled with a simulated reentrant circuit characteristic of that simulated reentrant circuit;
applying the RML model to subject tissue characteristics of the subject to identify a subject reentrant circuit characteristic for the subject reentrant circuit; and
outputting an indication of the identified subject reentrant circuit characteristic.