Machine learning models for the prediction of preclinical coal workers’ pneumoconiosis: integrating CT radiomics and occupational health surveillance records

Our study demonstrated that the multimodal model demonstrated strong predictive capability for the preclinical stage of CWP by integrating CT radiomic features with occupational health data.

Authors

Fengtao Cui (ORCID: https://orcid.org/0009-0006-0652-8369)
Yanan Ma (ORCID: https://orcid.org/0000-0003-0385-8929)
Qin He
Yulong Yao
Yan Wang (ORCID: https://orcid.org/0009-0004-4214-0455)
Fuhai Shen (ORCID: https://orcid.org/0000-0003-3534-8958)
Bing Li (ORCID: https://orcid.org/0009-0005-5110-5819)

Institutions

Shenyang Medical College (CN)
North China University of Science and Technology (CN)
Shenyang Center for Disease Control and Prevention (CN)
Huaibei Mining (China) (CN)
Beijing Chang'an Integrated Traditional Chinese and Western Medicine Hospital (CN)
China Medical University (CN)

Publication Details

Journal: Journal of Translational Medicine
Published: 2025-08-11
DOI: https://doi.org/10.1186/s12967-025-06907-3
Citations: 2
Primary Topic: Occupational and environmental lung diseases
Type: article
Field-Weighted Citation Impact: 3.04

Funders

Natural Science Foundation of Liaoning Province

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article

Machine learning models for the prediction of preclinical coal workers’ pneumoconiosis: integrating CT radiomics and occupational health surveillance records

Fengtao Cui, Yanan Ma, Qin He, Yulong Yao et al.

Aug 11, 2025

2 citations

Journal of Translational Medicine

Occupational and environmental lung diseases

3.04

article

Machine learning models for the prediction of preclinical coal workers’ pneumoconiosis: integrating CT radiomics and occupational health surveillance records

Fengtao Cui, Yanan Ma, Qin He, Yulong Yao, Yan Wang, Fuhai Shen, Bing Li

August 11, 2025article en

2 citations

Abstract

Our study demonstrated that the multimodal model demonstrated strong predictive capability for the preclinical stage of CWP by integrating CT radiomic features with occupational health data.

Journal of Translational MedicineVol. 23(1)

Shenyang Medical College (CN), North China University of Science and Technology (CN), Shenyang Center for Disease Control and Prevention (CN), Huaibei Mining (China) (CN), Beijing Chang'an Integrated Traditional Chinese and Western Medicine Hospital (CN), China Medical University (CN)

Natural Science Foundation of Liaoning Province

Decent work and economic growth

Openalex Percentile: Top 8%

Occupational and environmental lung diseases

3.04

DOI Open Access PDF OpenAlex

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Machine learning models for the prediction of preclinical coal workers’ pneumoconiosis: integrating CT radiomics and occupational health surveillance records — Fengtao Cui, Yanan Ma, et al. · Journal of Translational Medicine (2025) | TGRS Research Map | TGRS