Researchers at the Mayo Clinic have successfully used artificial intelligence to extract functional and physiological data from routine coronary angiography. The AI was able to predict key cardiovascular biomarkers with an accuracy of 80% or greater. The team trained multiple algorithms using advanced machine-learning techniques on 20,000 angiograms to extract data on ventricular functions, filling pressures, and cardiac index. The goal is to refine the algorithms and integrate them into clinical practice for real-time access in the catheterization lab. While AI shows potential to improve diagnostic predictability, challenges lie in implementing it into the American healthcare system due to infrastructure limitations and funding concerns.
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AI Augments Cath Lab to Predict Outcomes
