Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening
Currently, the diagnosis of tuberculosis (TB) is mainly based on the comprehensive consideration of the patient's symptoms and signs, laboratory examinations and chest radiography (CXR). CXR plays a pivotal role to support the early diagnosis of TB, especially when used for TB screening and dif...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-03-01
|
| Series: | Chronic Diseases and Translational Medicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095882X21000049 |
| _version_ | 1811327909419286528 |
|---|---|
| author | Xue-Fang Cao Yuan Li He-Nan Xin Hao-Ran Zhang Madhukar Pai Lei Gao |
| author_facet | Xue-Fang Cao Yuan Li He-Nan Xin Hao-Ran Zhang Madhukar Pai Lei Gao |
| author_sort | Xue-Fang Cao |
| collection | DOAJ |
| description | Currently, the diagnosis of tuberculosis (TB) is mainly based on the comprehensive consideration of the patient's symptoms and signs, laboratory examinations and chest radiography (CXR). CXR plays a pivotal role to support the early diagnosis of TB, especially when used for TB screening and differential diagnosis. However, high cost of CXR hardware and shortage of certified radiologists poses a major challenge for CXR application in TB screening in resource limited settings. The latest development of artificial intelligence (AI) combined with the accumulation of a large number of medical images provides new opportunities for the establishment of computer-aided detection (CAD) systems in the medical applications, especially in the era of deep learning (DL) technology. Several CAD solutions are now commercially available and there is growing evidence demonstrate their value in imaging diagnosis. Recently, WHO published a rapid communication which stated that CAD may be used as an alternative to human reader interpretation of plain digital CXRs for screening and triage of TB. |
| first_indexed | 2024-04-13T15:16:18Z |
| format | Article |
| id | doaj.art-f37a52adb94b47c38c17f6e20fe0ca3f |
| institution | Directory Open Access Journal |
| issn | 2095-882X |
| language | English |
| last_indexed | 2024-04-13T15:16:18Z |
| publishDate | 2021-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Chronic Diseases and Translational Medicine |
| spelling | doaj.art-f37a52adb94b47c38c17f6e20fe0ca3f2022-12-22T02:41:52ZengWileyChronic Diseases and Translational Medicine2095-882X2021-03-01713540Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screeningXue-Fang Cao0Yuan Li1He-Nan Xin2Hao-Ran Zhang3Madhukar Pai4Lei Gao5NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaJF Healthcare, Nanchang, Jiangxi 330072, ChinaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaMcGill International TB Centre, McGill University, Montreal, CanadaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China; Corresponding author. NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dong Dan San Tiao, Dongcheng District, Beijing 100730, China.Currently, the diagnosis of tuberculosis (TB) is mainly based on the comprehensive consideration of the patient's symptoms and signs, laboratory examinations and chest radiography (CXR). CXR plays a pivotal role to support the early diagnosis of TB, especially when used for TB screening and differential diagnosis. However, high cost of CXR hardware and shortage of certified radiologists poses a major challenge for CXR application in TB screening in resource limited settings. The latest development of artificial intelligence (AI) combined with the accumulation of a large number of medical images provides new opportunities for the establishment of computer-aided detection (CAD) systems in the medical applications, especially in the era of deep learning (DL) technology. Several CAD solutions are now commercially available and there is growing evidence demonstrate their value in imaging diagnosis. Recently, WHO published a rapid communication which stated that CAD may be used as an alternative to human reader interpretation of plain digital CXRs for screening and triage of TB.http://www.sciencedirect.com/science/article/pii/S2095882X21000049TuberculosisArtificial intelligenceDigital chest radiographyDiagnosisTriage |
| spellingShingle | Xue-Fang Cao Yuan Li He-Nan Xin Hao-Ran Zhang Madhukar Pai Lei Gao Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening Chronic Diseases and Translational Medicine Tuberculosis Artificial intelligence Digital chest radiography Diagnosis Triage |
| title | Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening |
| title_full | Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening |
| title_fullStr | Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening |
| title_full_unstemmed | Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening |
| title_short | Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening |
| title_sort | application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening |
| topic | Tuberculosis Artificial intelligence Digital chest radiography Diagnosis Triage |
| url | http://www.sciencedirect.com/science/article/pii/S2095882X21000049 |
| work_keys_str_mv | AT xuefangcao applicationofartificialintelligenceindigitalchestradiographyreadingforpulmonarytuberculosisscreening AT yuanli applicationofartificialintelligenceindigitalchestradiographyreadingforpulmonarytuberculosisscreening AT henanxin applicationofartificialintelligenceindigitalchestradiographyreadingforpulmonarytuberculosisscreening AT haoranzhang applicationofartificialintelligenceindigitalchestradiographyreadingforpulmonarytuberculosisscreening AT madhukarpai applicationofartificialintelligenceindigitalchestradiographyreadingforpulmonarytuberculosisscreening AT leigao applicationofartificialintelligenceindigitalchestradiographyreadingforpulmonarytuberculosisscreening |