# Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-algorithms-to-predict-the-risk-of-rupture-of-intracranial/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Karan Daga,Siddharth Agarwal,Zaeem Moti,Moonjoo Lee,Munaib Din,David Wood,Marc Modat,Thomas C. Booth |
| Citations | 11 |
| DOI | 10.1007/s00062-024-01474-4 |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00062-024-01474-4.pdf |
| OpenAlex ID | https://openalex.org/W4404394249 |
| PMID | 39546007 |
| Type | review |
| Year | 2024 |

## Paper authors

- [Munaib Din](https://scholariq.org/researchers/munaib-din/)

## Paper primary topic

- [Intracranial Aneurysms: Treatment and Complications](https://scholariq.org/topics/intracranial-aneurysms-treatment-and-complications/)

## Paper topics

- [Intracranial Aneurysms: Treatment and Complications](https://scholariq.org/topics/intracranial-aneurysms-treatment-and-complications/)
- [Intracerebral and Subarachnoid Hemorrhage Research](https://scholariq.org/topics/intracerebral-and-subarachnoid-hemorrhage-research/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.