Results 11 to 20 of about 23,583 (226)

Pneumoconiosis combined with connective tissue disease in China: a cross-sectional study

BMJ Open, 2023
Objective To describe the prevalence, clinical features and potential risk factors of pneumoconiosis in combination with connective tissue disease (CTD) or positive autoantibodies. Design Cross-sectional study.
Wenjing Xu, Ruimin Ma, Jingwei Wang, Di Sun, Shiwen Yu, Q. Ye   +5 more
semanticscholar   +1 more source

Efficient clinical data analysis for prediction of coal workers' pneumoconiosis using machine learning algorithms

Clinical Respiratory Journal, 2023
The purpose of this study is to propose an efficient coal workers' pneumoconiosis (CWP) clinical prediction system and put it into clinical use for clinical diagnosis of pneumoconiosis.
Hantian Dong, Biaokai Zhu, X. Kong, Xinri Zhang   +3 more
semanticscholar   +1 more source

The burden of pneumoconiosis in China: an analysis from the Global Burden of Disease Study 2019

BMC Public Health, 2022
Background Pneumoconiosis refers to a class of serious diseases threatening the health of workers exposed to coal or silicosis dust. However, the burden of pneumoconiosis is unavailable in China.
Jie Li, P. Yin, Haidong Wang, Lijun Wang, J. You, Jiangmei Liu, Yunning Liu, Wei Wang, Xiao Zhang, P. Niu, Maigeng Zhou   +10 more
semanticscholar   +1 more source

The Prevention of Pneumoconiosis in Motor Industry (Pneumoconiosis)

Sangyo Igaku, 1960
Hideyo Mukai
openalex   +3 more sources

Risk of Chronic Kidney Disease in Pneumoconiosis: Results from a Retrospective Cohort Study (2008–2019)

Biomedicines, 2023
Background: Pneumoconiosis has considerable comorbidities, most notably pulmonary and cardiovascular diseases. However, the relationship between pneumoconiosis and chronic kidney disease (CKD) is largely unknown.
Chao Wei, Chia-Hsiang Li, T. Shen, Yu-Tung Hung, C. Tu, T. Hsia, W. Hsu, C-Y Hsu   +7 more
semanticscholar   +1 more source

Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography

Journal of Clinical Medicine, 2022
Globally, coal remains one of the natural resources that provide power to the world. Thousands of people are involved in coal collection, processing, and transportation.
Liton Devnath, S. Luo, P. Summons, Dadong Wang, K. Shaukat, I. Hameed, Fatma S. Alrayes   +6 more
semanticscholar   +1 more source

Pathology and Mineralogy Demonstrate Respirable Crystalline Silica Is a Major Cause of Severe Pneumoconiosis in U.S. Coal Miners

Annals of the American Thoracic Society, 2022
Rationale The reasons for resurgent coal workers’ pneumoconiosis and its most severe forms, rapidly progressive pneumoconiosis and progressive massive fibrosis (PMF), in the United States are not yet fully understood. Objectives To compare the pathologic
R. Cohen, C. Rose, L. Go, L. Zell-Baran, K. Almberg, E. Sarver, H. Lowers, C. Iwaniuk, S. Clingerman, D. Richardson, J. L. Abraham, C. Cool, A. Franko, A. Hubbs, J. Murray, M. Orandle, S. Sanyal, N. Vorajee, E. Petsonk, R. Zulfikar, F. Green   +20 more
semanticscholar   +1 more source

Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review

International Journal of Environmental Research and Public Health, 2022
Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate.
Liton Devnath, P. Summons, S. Luo, Dadong Wang, K. Shaukat, I. Hameed, Hanan Aljuaid   +6 more
semanticscholar   +1 more source

Pneumoconiosis: current status and future prospects

Chinese Medical Journal, 2021
Pneumoconiosis refers to a spectrum of pulmonary diseases caused by inhalation of mineral dust, usually as the result of certain occupations. The main pathological features include chronic pulmonary inflammation and progressive pulmonary fibrosis, which ...
Xian-mei Qi, Ya Luo, Meiyue Song, Y. Liu, T. Shu, Y. Liu, J. Pang, Jing Wang, Chen Wang   +8 more
semanticscholar   +1 more source

Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays

International Journal of Environmental Research and Public Health, 2022
Pneumoconiosis is a group of occupational lung diseases induced by mineral dust inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung damage, as well as gradual and permanent physical impairments.
Liton Devnath, Zongwen Fan, S. Luo, P. Summons, Dadong Wang   +4 more
semanticscholar   +1 more source