Pediatric cancer recurrence prediction is an emerging frontier in the battle against childhood cancers, particularly in patients with gliomas.Recent advancements in AI technology have revolutionized how healthcare professionals assess the relapse risk in young patients, offering a level of accuracy that traditional methods struggle to achieve.