# Can we rely on machine learning algorithms as a trustworthy predictor for recurrence in high-grade glioma? A systematic review and meta-analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/can-we-rely-on-machine-learning-algorithms-as-a-trustworthy-predictor-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ibrahim Mohammadzadeh,Behnaz Niroomand,Bardia Hajikarimloo,Mohammad Amin Habibi,Ali Mortezaei,Jina Behjati,Abdulrahman Albakr,Hamid Borghei-Razavi |
| Citations | 29 |
| DOI | 10.1016/j.clineuro.2025.108762 |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.clineuro.2025.108762 |
| OpenAlex ID | https://openalex.org/W4406814318 |
| PMID | 39884144 |
| Type | review |
| Year | 2025 |

## Paper authors

- [Abdulrahman Albakr](https://scholariq.org/researchers/abdulrahman-albakr/)

## Paper journal

- [Clinical Neurology and Neurosurgery](https://scholariq.org/journals/clinical-neurology-and-neurosurgery/)

## Paper primary topic

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)

## Paper topics

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.