Computer-aided diagnosis in rheumatic diseases using ultrasound: an overview

被引:0
作者
Josefina Gutiérrez-Martínez
Carlos Pineda
Hugo Sandoval
Araceli Bernal-González
机构
[1] Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra,Division of Medical Engineering Research
[2] Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra,Division of Musculoskeletal and Rheumatic Disorders
[3] Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra,Sociomedical Research Unit
来源
Clinical Rheumatology | 2020年 / 39卷
关键词
Artificial intelligence; Computer-assisted diagnosis; Expert systems; Machine learning; Rheumatology;
D O I
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学科分类号
摘要
Clinical evaluation of rheumatic and musculoskeletal diseases through images is a challenge for the beginner rheumatologist since image diagnosis is an expert task with a long learning curve. The aim of this work was to present a narrative review on the main ultrasound computer-aided diagnosis systems that may help clinicians thanks to the progress made in the application of artificial intelligence techniques. We performed a literature review searching for original articles in seven repositories, from 1970 to 2019, and identified 11 main methods currently used in ultrasound computer-aided diagnosis systems. Also, we found that rheumatoid arthritis, osteoarthritis, systemic lupus erythematosus, and idiopathic inflammatory myopathies are the four musculoskeletal and rheumatic diseases most studied that use these innovative systems, with an overall accuracy of > 75%.
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页码:993 / 1005
页数:12
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