Artificial Intelligence for Pediatric Brain Tumor Detection and Prediction of Disease Progression

Artificial intelligence (AI) is a field of computing that focuses on the development of smart machines that can complete complicated tasks. AI has applications across many fields, and pediatric brain cancer researchers are looking to utilize AI in an effort to optimize cancer detection and the clinical management of pediatric brain cancers. These tools will automatically detect brain tumors in MRI scans, and provide predictions as to what subtype of tumor the patient has. Providing subtype predictions could lead to faster diagnosis and identification of proper treatment protocols. Researchers also intend to use AI to help detect early signs of disease progression. Although previous studies have explored AI-based techniques to do this in adults, fewer studies have focused specifically on pediatric brain tumors. Access to the Pediatric Brain Tumor Atlas gives researchers a broad and comprehensive dataset on pediatric brain cancers in order to complete this research.