Pediatric cancer relapse prediction is an emerging field that harnesses the power of artificial intelligence to enhance patient outcomes.Recent studies have shown that AI tools can significantly outperform traditional methods in predicting the risk of cancer recurrence, particularly among young patients with brain tumors like gliomas.