A new non-invasive diagnostic tool in coronary artery disease: artificial intelligence as an essential element of predictive, preventive, and personalized medicine

The EPMA Journal
Michael J ZellwegerWinfried März

Abstract

Known coronary artery disease (CAD) risk scores (e.g., Framingham) estimate the CAD-related event risk rather than presence/absence of CAD. Artificial intelligence (AI) is rarely used in this context. This study aims to evaluate the diagnostic power of AI (memetic pattern-based algorithm (MPA)) in CAD and to expand its applicability to a broader patient population. Nine hundred eighty-seven patients of the Ludwigshafen Risk and Cardiovascular Health Study (LURIC) were divided into a training (n = 493) and a test population (n = 494). They were evaluated by the Basel MPA. The "training population" was further used to expand and optimize the Basel MPA, and after modifications, a final validation was carried out on the "test population." The results were compared with the Framingham Risk Score (FRS) using receiver operating curves (ROC; area-under-the-curve (AUC)). Of the 987 LURIC patients, 71% were male, age 62 ± 11 years and 68% had documented CAD. AUC of Framingham and BASEL MPA to diagnose CAD in "LURIC training" were 0.69 and 0.80, respectively. AUC of the optimized MPA in the training and test cohort were 0.88 and 0.87, respectively. The positive predictive values (PPV) of the optimized MPA for exclusion of CAD in "training...Continue Reading

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Citations

Nov 22, 2019·Journal of Medical Internet Research·Rita Kukafka
Sep 22, 2020·Clinical Medicine Insights. Cardiology·Pankaj MathurJawahar L Mehta
Jan 16, 2021·Herzschrittmachertherapie & Elektrophysiologie·Bettina Zippel-SchultzThomas M Helms
Jul 20, 2021·Cardiovascular Research·Wahbi K El-BouriGregory Y H Lip

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Software Mentioned

BASEL MPA
BASEL
LURIC

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