Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid

被引:0
作者
Kevin B. W. Groot Lipman
Cornedine J. de Gooijer
Thierry N. Boellaard
Ferdi van der Heijden
Regina G. H. Beets-Tan
Zuhir Bodalal
Stefano Trebeschi
Jacobus A. Burgers
机构
[1] The Netherlands Cancer Institute,Department of Radiology
[2] Netherlands Cancer Institute,Department of Thoracic Oncology
[3] University of Twente,Technical Medicine
[4] Maastricht University Medical Center,GROW School for Oncology and Developmental Biology
[5] University of Twente,Department of Robotics and Mechatronics
[6] University of Southern Denmark,Institute of Regional Health Research
来源
European Radiology | 2023年 / 33卷
关键词
Asbestos; Asbestosis; Tomography, X-ray computed; Respiratory function tests; Artificial intelligence;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:3557 / 3565
页数:8
相关论文
共 54 条
[1]  
Kamp DW(2009)Asbestos-induced lung diseases: an update Transl Res 153 143-152
[2]  
Greillier L(2008)Mesothelioma and asbestos-related pleural diseases Respiration 76 1-15
[3]  
Astoul P(1995)Standardization of diagnostic criteria for occupational asbestosis of the lungs and lung parenchyma Arh Hig Rada Toksikol 46 445-449
[4]  
Vujović M(2015)Asbestos, asbestosis, and cancer, the Helsinki criteria for diagnosis and attribution 2014: recommendations Scand J Work Environ Health 41 5-15
[5]  
Wolff H(2016)Comments on the 2014 Helsinki Consensus Report on Asbestos Ann Glob Health 82 217-220
[6]  
Vehmas T(2017)Asbestos, asbestosis, and cancer: the Helsinki criteria for diagnosis and attribution. Critical need for revision of the 2014 update Am J Ind Med 60 411-421
[7]  
Oksa P(2010)Retrospective exposure assessment to airborne asbestos among power industry workers J Occup Med Toxicol 5 15-179
[8]  
Landrigan PJ(1994)Compensation of occupational diseases and particularly of asbestos-related diseases among the European Community (EEC) countries Epidemiol Prev 18 170-1341
[9]  
Ramazzini C(2012)3D Slicer as an image computing platform for the quantitative imaging network Magn Reson Imaging 30 1323-510
[10]  
Baur X(2018)Artificial intelligence in radiology Nat Rev Cancer 18 500-193