Multiple Instance Learning-Based Prediction of Blood-Brain Barrier Opening Outcomes Induced by Focused Ultrasound

We demonstrate the feasibility of MIL in FUS BBB opening prediction. The proposed Transformer-based model exhibits outstanding performance, interpretability, and cross-agent generalization capability, providing a novel approach for FUS BBB opening prediction with clinical translation potential.