Machine learning for identifying characteristics of a reentrant circuit Grant US-11896432-B2 United States of America 13 Feb 2024
Identify ablation pattern for use in an ablation Grant US-11806080-B2 United States of America 07 Nov 2023
Identifying an attribute of an electromagnetic source configuration by matching simulated… Grant US-11622732-B2 United States of America 11 Apr 2023
Generating approximations of cardiograms from different source configurations Grant US-11576624-B2 United States of America 14 Feb 2023
Generating simulated anatomies of an electromagnetic source Grant US-11564641-B2 United States of America 31 Jan 2023
Machine learning using clinical and simulated data Grant US-11547369-B2 United States of America 10 Jan 2023
Machine learning using clinical and simulated data Grant US-11504073-B2 United States of America 22 Nov 2022
Bootstrapping a simulation-based electromagnetic output of a different anatomy Grant US-11344263-B2 United States of America 31 May 2022
Guiding implantation of an energy delivery component in a body Grant US-11338131-B1 United States of America 24 May 2022
Machine learning using clinical and simulated data Grant US-11259756-B2 United States of America 01 Mar 2022
Identify ablation pattern for use in an ablation Grant US-11259871-B2 United States of America 01 Mar 2022
Identify ablation pattern for use in an ablation Grant US-11065060-B2 United States of America 20 Jul 2021
Converting a polyhedral mesh representing an electromagnetic source Grant US-10959680-B2 United States of America 30 Mar 2021
Machine learning using simulated cardiograms Grant US-10856816-B2 United States of America 08 Dec 2020
SYSTEM AND METHOD FOR DETERMINING SEGMENTS FOR ABLATION Application WO-2019118640-A1 World Intellectual Property Organisation (WIPO) 20 Jun 2019