A confidence-aware ResNet-18 model achieved 96.2% accuracy and excellent calibration (ECE = 0.012) for four-stage Alzheimer’s disease MRI classification, demonstrating that uncertainty-guided prediction can reduce errors from 3.8% to 0.5% by referring low-confidence cases for expert review