We are honored to announce that Kantify’s new abstract “Screening Atrial Fibrillation Using Machine Learning”, developed in collaboration with the Artificial Intelligence Laboratory of the Université Libre de Bruxelles, has been selected by the Program Committee of the European Cardiac Arrhythmia Society (ECAS).
This publication stems from a research project led in 2018, where our research team succesfully developed a highly performing algorithm to automate the diagnosis of a heart condition affecting 2% of the world population.
The 15th ECAS Congress will take place on June 16-18, 2019, in Marseille, France. The preliminary program and selected abstracts will be featured in a special supplement issue of the Journal Interventional Cardiac Electrophysiology (JICE).
ECAS is dedicated to improving the education of physicians and the general public in the field of heart rhythm disturbances. Kantify identified the opportunity to integrate this mission with the developments in Machine Learning, in order to improve the accuracy and effectiveness of screening heart issues.
Contact us to learn more about Kantify's contribution to improving healthcare using AI!