Pediatric Cancer Relapse Prediction: AI Outperforms Traditional Methods
May 6, 2025
Pediatric cancer relapse prediction has reached a new frontier with recent advancements in artificial intelligence (AI) technologies.Researchers at Mass General Brigham have developed a groundbreaking AI tool that outperforms traditional methods in forecasting relapse risks among children with cancer.
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Pediatric Cancer Prediction: AI Outperforms Traditional Methods
May 5, 2025
Pediatric cancer prediction is revolutionizing the field of oncology by significantly enhancing our understanding of relapse risks in young patients.Recent studies have showcased how artificial intelligence (AI) tools can analyze brain scans more effectively than conventional methods, particularly for children diagnosed with gliomas.
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