# Evaluating AI-powered predictive solutions for MRI in lumbar spinal stenosis: a systematic review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluating-ai-powered-predictive-solutions-for-mri-in-lumbar-spinal-stenosis-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mugahed A. Al–antari,Saied Salem,Mukhlis Raza,Ahmed Elbadawy,Ertan Bütün,Ahmet Arif Aydın,Murat Aydoğan,Bilal Ertuğrul,Muhammed Talo,Yeong Hyeon Gu |
| Citations | 6 |
| DOI | 10.1007/s10462-025-11185-y |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s10462-025-11185-y.pdf |
| OpenAlex ID | https://openalex.org/W4410049487 |
| Type | review |
| Year | 2025 |

## Paper authors

- [Bilal Ertuğrul](https://scholariq.org/researchers/bilal-ertugrul/)

## Paper journal

- [Artificial Intelligence Review](https://scholariq.org/journals/artificial-intelligence-review/)

## Paper primary topic

- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

## Paper topics

- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)
- [Spine and Intervertebral Disc Pathology](https://scholariq.org/topics/spine-and-intervertebral-disc-pathology/)
- [Spinal Fractures and Fixation Techniques](https://scholariq.org/topics/spinal-fractures-and-fixation-techniques/)

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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.