Author

Rui Ji

2 papers indexed here

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Open access Sep 2026

Bridging Accuracy and Explainability in AI-ECG: A Multi-Stage Hyperparameter Tuning Framework for Reinforcement Learning–Based Random Forests

Background: Deep learning applied to ECG has demonstrated strong diagnostic performance for acute coronary syndrome (ACS), but widespread clinical adoption remains limited by lack of interpretability and model robustness. Classical machine learning approaches, such as random forests (RF), offer greater explainability b...

Karam Daoud, Rui Ji, N. Riek et al. · Journal of Electrocardiology · 0 citations

Open access Oct 2026

Diagnostic performance of the ECG-SMART AI score for detecting angiographically significant coronary artery disease in patients undergoing elective coronary angiography

The 12-lead ECG is central to the evaluation of patients with suspected coronary artery disease (CAD) but has limited diagnostic accuracy for identifying significant obstructive disease prior to elective coronary angiography. We previously developed an artificial intelligence–enhanced ECG (AI-ECG) model for detecting a...

Dania A. Bani Hani, Jafar A. Alshraideh, Hamza Alduraidi et al. · PLOS Digital Health · 0 citations