Abstract

Summary We evaluated foundation models for opportunistic osteoporosis screening from chest X-rays using a novel explainability framework. DINOv2 with low-rank adaptation achieved the best performance (AUC 0.93) while demonstrating clear clinical reasoning. Our findings highlight that explainability should be prioritized alongside accuracy in medical AI, enhancing trust in clinical deployment.
Purpose Deep learning models show promise for opportunistic osteoporosis...