Predicting survival in malignant glioma using artificial intelligence

Predicting survival in malignant glioma using artificial intelligence

Abstract Malignant gliomas, including glioblastoma, are amongst the most aggressive primary brain tumours, characterised by rapid progression and a poor prognosis. Survival analysis is an essential aspect of glioma management and research, as most studies use time-to-event outcomes to assess overall...

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Bibliographic Details
Main Authors: Wireko Andrew Awuah, Adam Ben-Jaafar, Subham Roy, Princess Afia Nkrumah-Boateng, Joecelyn Kirani Tan, Toufik Abdul-Rahman, Oday Atallah
Format: Article
Language:English
Published: BMC 2025-01-01
Series:European Journal of Medical Research
Subjects:
Malignant glioma
Artificial intelligence (AI)
Machine learning (ML)
Deep learning (DL)
Survival prediction approaches
Online Access:https://doi.org/10.1186/s40001-025-02339-3
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