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Articles

Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review

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By Siddhi Ramesh, Ajay Major, Sukarn Chokkara, Timothy Shen
| ascopubs.org
Abstract There is a need for an improved understanding of clinical and biologic risk factors in pediatric cancer to improve patient outcomes. Machine learning (ML) represents the application of computational inference from advanced statistical methods that can be applied to increasing amount of data available for study in pediatric oncology.
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