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Elucid, a medical technology company developing AI software to enable cardiovascular disease detection, announced today the publication of new clinical data in the International Journal of Cardiology. The study, entitled “Coronary plaque assessment of Vasodilative capacity by CT angiography effectively estimates fractional flow reserve” demonstrates that Fractional Flow Reserve (FFR) assessment derived from non-invasive plaque morphology using Elucid’s software is highly accurate as compared to invasive FFR.
The team at Medical University of South Carolina (MUSC), led by Akos Varga-Szemes, MD and Joseph Schoepf, MD showed that Elucid’s AI software can quantitate both vessel structure and histologically-validated plaque composition from a routine CT angiography (CTA). These measurements were fed into Elucid’s computational neural networks to accurately estimate ischemia.