Pediatric cancer recurrence poses significant challenges for young patients and their families, particularly in the context of brain tumors known as pediatric gliomas.Recent advancements in AI in cancer prediction have sparked hope for better management strategies, as these technologies can enhance cancer recurrence prediction accuracy compared to traditional methods.