# Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-neurosurgery-a-systematic-review-using-topic-modeling/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gleb Danilov,Michael Shifrin,Konstantin Kotik,Timur Ishankulov,Yu. N. Orlov,Alexander Kulikov,Potapov Aa |
| Citations | 35 |
| DOI | 10.17691/stm2020.12.5.12 |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | diamond |
| OA URL | http://www.stm-journal.ru/en/numbers/2020/5/1674/pdf |
| OpenAlex ID | https://openalex.org/W3094985668 |
| PMID | 34796011 |
| Type | review |
| Year | 2020 |

## Paper authors

- [Gleb Danilov](https://scholariq.org/researchers/gleb-danilov/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [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.
