TTP plc (TTP), a leading independent technology and product development company, today announced it has established a partnership with NHS Highland and The University of the Highlands and Islands, to use clinical data interpretation and machine learning algorithms to predict which patients with atrial fibrillation (AF) are able to be successfully treated using electrical cardioversion (ECV).
AF is a common heart condition, causing an abnormally fast heart rate and irregular rhythm, which can lead to significant morbidity (e.g. stroke, heart failure), and mortality. Treatment options include drugs and/or ECV, however although morbidity and mortality can be significantly reduced with ECV, it is successful at one year in only 30% of patients. The ECV procedure also carries risk and is expensive to carry out. Consequently, there is an urgent need to predict which patients with AF are most suitable for treatment using ECV. Successfully predicting treatment suitability using remotely collectable data ...