[Coronary heart disease-a German paradox : Using AI-based technology to solve a relevant healthcare problem].

Abstract

The German healthcare system is facing challenges in diagnosing coronary artery disease (CAD). These include high mortality rates, even when advanced medical technology is used, and an excessive number of coronary angiographies. A key issue is that current guideline models inaccurately estimate pretest probability (PTP). However, accurately determining PTP is crucial for efficiently guiding the diagnostic pathway and ensuring cost-effectiveness. Artificial intelligence (AI)-based systems offer a solution for precisely determining a personalized PTP. Approved medical AI devices calculate a personalized PTP using laboratory values and medical history. These systems achieve high accuracy (area under the curve 0.87), improve patient selection, avoid unnecessary diagnostics for low-risk patients, and demonstrate significant cost savings. AI-based PTP is essential for improving guideline-based CAD diagnostics and utilizing resources more efficiently.