
HeartFlow, Inc., the leader in revolutionizing precision heartcare, today announced new trial results that show evaluating patients with suspected CAD by applying advanced artificial intelligence (AI) to CCTA allows for more accurate non-invasive diagnosis, reduces unnecessary testing, and offers higher confidence in identifying patients needing treatment.
The results from the Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization (PRECISE) trial were presented today as late-breaking clinical data at the American Heart Association’s (AHA) Scientific Sessions in Chicago, IL.
“This is the strongest level of scientific evidence yet to support the approach professional guidelines recommend that physicians use to diagnose stable chest pain patients,” said Pamela Douglas, M.D., MACC, FASE, FAHA, the Ursula Geller Professor for Research in Cardiovascular Disease, Duke University School of Medicine and study chair of the PRECISE trial. “Combining multiple steps into a Precision Pathway provides a clear path forward for clinicians.”