# Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-in-neurosurgery-a-systematic-literature-review-with-a-structured/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kıvanç Yangı,Jinpyo Hong,Arianna S. Gholami,Thomas J. On,Aaron Reed,Pravarakhya Puppalla,Jiuxu Chen,C. Valero,Yuan Xu,Baoxin Li,Marco Santello,Michael T. Lawton,Mark C. Preul |
| Citations | 17 |
| DOI | 10.3389/fneur.2025.1532398 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1532398/pdf |
| OpenAlex ID | https://openalex.org/W4409518434 |
| PMID | 40308224 |
| Type | review |
| Year | 2025 |

## Paper authors

- [Baoxin Li](https://scholariq.org/researchers/baoxin-li-2/)

## Paper journal

- [Frontiers in Neurology](https://scholariq.org/journals/frontiers-in-neurology/)

## Paper primary topic

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

## Paper topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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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.