HIGHLIGHTS
- who: Kaitlyn Alleman et al. from the Chicago Medical School, Rosalind Franklin University of Science and Medicine, Chicago, IL, USA have published the research work: Multimodal Deep Learning-Based Prognostication in Glioma Patients: A Systematic Review, in the Journal: (JOURNAL)
- how: The authors identified 6 studies that fused MRI imaging with patient clinical data to predict overall survival.
- future: Work is needed to compare multimodal and unimodal strategies head-to-head between the different DL models that have been reviewed.
SUMMARY
In recent years, remarkable deep learning (DL) advances . . .
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