# SR-MKG: Self-Refining Medical Knowledge Graph via LLM-Based Topological Confidence Scoring for Radiological Reports of Lumbar Spinal Stenosis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sr-mkg-self-refining-medical-knowledge-graph-via-llm-based-topological/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mukhlis Raza,Jamil Hussain,Yeong Hyeon Gu,Bilal Ertuğrul,Inbo Han,Mugahed A. Al–antari |
| Citations | 1 |
| DOI | 10.1109/idap68205.2025.11222181 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4416183542 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

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

## Paper primary topic

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)

## Paper topics

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

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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.