# Machine Learning Using Presentation CT Perfusion Imaging for Predicting Clinical Outcomes in Patients With Aneurysmal Subarachnoid Hemorrhage

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-using-presentation-ct-perfusion-imaging-for-predicting-clinical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pengzhan Yin,Jiaqi Wang,Chao Zhang,Jinlong Yuan,Mingquan Ye,Yunfeng Zhou |
| Citations | 15 |
| DOI | 10.2214/ajr.23.29579 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://ajronline.org/doi/pdf/10.2214/AJR.23.29579 |
| OpenAlex ID | https://openalex.org/W4384663996 |
| PMID | 37466187 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Yunfeng Zhou](https://scholariq.org/researchers/yunfeng-zhou/)

## 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/)
- [Traumatic Brain Injury and Neurovascular Disturbances](https://scholariq.org/topics/traumatic-brain-injury-and-neurovascular-disturbances/)
- [Acute Ischemic Stroke Management](https://scholariq.org/topics/acute-ischemic-stroke-management/)

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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.