Physicians at UC San Diego Health are utilizing artificial intelligence (AI) to develop a non-invasive, computer-based mapping system that has resulted in a new way of treating ventricular arrhythmia, or irregular heart rhythm, including atrial fibrillation (AFib). Traditional arrhythmia-mapping techniques are not always reliable, which led to researchers with University of California San Diego School of Medicine to create a new technique involving AI that assists physicians to help locate the direct source of a patient’s arrhythmia.
According to the U.S. Centers for Disease Control and Prevention, AFib is the most common heart arrythmia that affects more than 12 million Americans and can be fatal. The standard of care for treating the condition is ablation, which involves small catheters inserted into the heart to burn or freeze specific areas responsible for the electrical signals causing an abnormal heartbeat.
Before the procedure, physicians use the FDA-approved technology to locate a patient’s arrythmia by converting their EKG data into specific source maps that leverage millions of arrythmia simulations performed by technology resources, including the Supercomputer Center at UC San Diego.
Gordon Ho, MD, cardiac electrophysiologist at UC San Diego Health, is available to discuss the use of AI in arrythmia treatment.
(Newswise/SS)
