Pediatric cancer recurrence prediction has taken a promising step forward with the recent advancements in artificial intelligence (AI) tools.In a groundbreaking study by Harvard researchers, AI demonstrated a remarkable ability to analyze multiple brain scans over time to predict the risk of relapse in pediatric cancer patients more accurately than traditional methods.
