Pediatric cancer recurrence presents a significant challenge in oncology, particularly among young patients diagnosed with brain tumors like gliomas.Recent advancements in AI in pediatric oncology aim to alter this landscape, enabling healthcare providers to better predict relapse probabilities and tailor treatments accordingly.