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[Coronary heart disease-a German paradox : Using AI-based technology to solve a relevant healthcare problem]
B A Remppis1, M J Zellweger2, S Kelle3
1Klinik für Kardiologie, Herz- und Gefäßzentrum Bad Bevensen, Bad Bevensen, Deutschland. ba.remppis@hgz-bb.de.
Herzschrittmachertherapie & Elektrophysiologie
|September 1, 2025
Summary
Artificial intelligence (AI) improves coronary artery disease (CAD) diagnosis by accurately calculating personalized pretest probability (PTP). This enhances patient selection, reduces unnecessary tests, and saves costs in the German healthcare system.
Area of Science:
- Cardiology
- Medical Informatics
- Health Services Research
Context:
- The German healthcare system faces challenges in diagnosing coronary artery disease (CAD), including high mortality and excessive coronary angiographies.
- Current guideline models inaccurately estimate pretest probability (PTP), hindering efficient diagnostic pathways and cost-effectiveness.
Purpose:
- To evaluate the effectiveness of artificial intelligence (AI)-based systems in accurately determining personalized PTP for CAD diagnosis.
- To assess the impact of AI-driven PTP on patient selection, diagnostic efficiency, and resource utilization.
Summary:
- AI-based medical devices calculate personalized PTP using laboratory values and medical history, achieving high accuracy (AUC 0.87).
- These systems improve patient selection for diagnostic procedures.
- AI-based PTP demonstrates significant cost savings by avoiding unnecessary diagnostics for low-risk patients.
Impact:
- AI-based PTP is crucial for enhancing guideline-based CAD diagnostics.
- Implementation of AI can lead to more efficient utilization of healthcare resources.
- Improved diagnostic accuracy and cost-effectiveness can ultimately reduce CAD mortality rates.
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