# Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/systematic-review-of-artificial-intelligence-for-abnormality-detection-in-high/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Siddharth Agarwal,David Wood,Mariusz Grzeda,Chandhini Suresh,Munaib Din,James H. Cole,Marc Modat,Thomas C. Booth |
| Citations | 41 |
| DOI | 10.1007/s00062-023-01291-1 |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00062-023-01291-1.pdf |
| OpenAlex ID | https://openalex.org/W4378952208 |
| PMID | 37261453 |
| Type | review |
| Year | 2023 |

## Paper authors

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

## Paper primary topic

- [Intracerebral and Subarachnoid Hemorrhage Research](https://scholariq.org/topics/intracerebral-and-subarachnoid-hemorrhage-research/)

## Paper topics

- [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/)
- [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.