# Accuracy of Radiomics-Based Machine Learning for Predicting Risk of Recurrence in Non–Small Cell Lung Cancer: Systematic Review and Meta-Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/accuracy-of-radiomics-based-machine-learning-for-predicting-risk-of-recurrence/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Junpei Wu,Ye Zhang,Jiaye Wang,Chengshui Chen,Shiyu Hu,Wenyu Chen |
| Citations | 0 |
| DOI | 10.2196/84223 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.jmir.org/2026/1/e84223/PDF |
| OpenAlex ID | https://openalex.org/W7150962824 |
| PMID | 41940422 |
| Type | review |
| Year | 2026 |

## Paper authors

- [Junpei Wu](https://scholariq.org/researchers/junpei-wu/)

## Paper journal

- [Journal of Medical Internet Research](https://scholariq.org/journals/journal-of-medical-internet-research/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)

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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.