Pediatric cancer recurrence poses significant challenges for young patients and their families, particularly in cases involving tumors like pediatric gliomas.A recent study demonstrated that an innovative AI tool could enhance cancer relapse prediction by analyzing multiple brain scans over time, significantly outpacing traditional methods.