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Multiphysics modelling and neural networks synergy to enhance the outcome of robotic catheter ablation for the treatment of atrial fibrillation

Project description

AI corrects cardiac arrhythmia

Under physiological conditions, the heart rate ranges between 60 and 100 beats per minute. Atrial fibrillation is a condition associated with very rapid heart rhythm that may lead to heart failure and other heart-related complications. Catheter ablation is the gold standard therapy for atrial fibrillation, but it comes with significant risks. The EU-funded PhyNeTouch project aims to advance the procedure using a robotics approach. Researchers propose to combine computational modelling and artificial intelligence to generate in real time a more accurate map of blood flow distribution. This is expected to increase the accuracy of catheter ablation and improve the clinical outcome of patients suffering from atrial fibrillation.

Coordinator

UNIVERSITY COLLEGE LONDON
Net EU contribution
€ 212 933,76
Address
Gower Street
WC1E 6BT London
United Kingdom

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Region
London Inner London — West Camden and City of London
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00