Article

Longitudinal risk prediction for pediatric glioma with temporal deep learning

2024-06-05

Abstract excerpt

<h4>ABSTRACT</h4> Pediatric glioma recurrence can cause morbidity and mortality; however, recurrence pattern and severity are heterogeneous and challenging to predict with established clinical and genomic markers. Resultingly, almost all children undergo frequent, long-term, magnetic resonance (MR) brain surveillance regardless of individual recurrence risk. Deep learning analysis of longitudinal MR may be an eff...

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Literature Corpus work: 890b8bd1-084d-5bac-91b5-6b0a09ef820c
DOI: 10.1101/2024.06.04.24308434

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