Pediatric Cancer AI Predictions Improve Recurrence Accuracy

Pediatric cancer AI predictions are revolutionizing the way healthcare professionals assess the risk of cancer recurrence in children, particularly those with brain tumors like gliomas.Groundbreaking research indicates that AI tools, utilizing advanced machine learning in medicine, can analyze numerous brain scans over time to predict relapse risk more accurately than traditional methods.

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