Review
Open access
Aug 2026
Prediction of carotid vulnerable plaques in patients with type 2 diabetes using interpretable machine learning models
Objective To develop and externally validate an interpretable machine-learning framework for estimating ultrasound-defined carotid plaque vulnerability among patients with type 2 diabetes mellitus (T2DM) and established carotid plaque. Methods In total, 884 T2DM patients with carotid atherosclerotic plaques from two me...
Qi Cheng, Fengjuan Zhang, Han Wang et al.
· Frontiers in Endocrinology · 0 citations