AI Predicts Pediatric Brain Tumor Relapse With Surprising Accuracy

Researchers have developed an AI system that predicts brain tumor recurrence in children using sequential MRI scans. By applying a novel “temporal learning” method that processes multiple post-treatment images, the AI significantly outperforms traditional single-scan models. The approach promises to reduce unnecessary imaging and anxiety for families, while enabling earlier, more targeted intervention when recurrence [...]