Pediatric cancer recurrence poses a significant challenge in the treatment of young patients, particularly those diagnosed with brain tumors like gliomas.Recent advancements in artificial intelligence (AI) are changing the landscape, as studies reveal that AI tools can predict relapse risks with greater accuracy than conventional methods.