Pediatric cancer recurrence prediction is making significant strides, particularly with advancements in artificial intelligence (AI) that are revolutionizing pediatric oncology.A recent study highlights how innovative AI tools can analyze brain scans, thus offering improved glioma relapse risk predictions compared to traditional methods.