Explainable AI in Cardiology Diagnostics: A Systematic Review of Machine Learning, Meta-heuristic Optimization, and Clinical Text Mining for Coronary Artery Disease | Synapse
March 3, 2026
Explainable AI in Cardiology Diagnostics: A Systematic Review of Machine Learning, Meta-heuristic Optimization, and Clinical Text Mining for Coronary Artery Disease
Key Points
Explainable AI techniques improve diagnostic accuracy for coronary artery disease when evaluated against existing methods.
Key findings indicate that using clinical text mining methods has shown a notable increase in diagnostic reliability.
Observational analysis of machine learning frameworks details diverse approaches to enhance coronary artery disease prediction.
Implications highlight a strong need for integrating explainable AI into clinical practice to optimize diagnostic processes.