Pediatric cancer recurrence poses a significant challenge for young patients and their families, highlighting the urgent need for enhanced monitoring and predictive tools.A recent study has demonstrated that AI tools can outperform traditional methods in predicting relapse rates in pediatric cancer cases, particularly gliomas.