Pediatric cancer recurrence poses significant challenges for young patients and their families, as it often leads to distressing and life-altering outcomes.Recent advancements in AI tools designed for pediatric cancer risk prediction are revolutionizing how healthcare professionals assess the likelihood of relapse in children with brain tumors, particularly gliomas.