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...
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KeAi Communications Co., Ltd.
2021
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oai:doaj.org-article:f37a52adb94b47c38c17f6e20fe0ca3f2021-12-02T13:16:45ZApplication of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening2095-882X10.1016/j.cdtm.2021.02.001https://doaj.org/article/f37a52adb94b47c38c17f6e20fe0ca3f2021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2095882X21000049https://doaj.org/toc/2095-882XCurrently, 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.Xue-Fang CaoYuan LiHe-Nan XinHao-Ran ZhangMadhukar PaiLei GaoKeAi Communications Co., Ltd.articleTuberculosisArtificial intelligenceDigital chest radiographyDiagnosisTriageMedicine (General)R5-920ENChronic Diseases and Translational Medicine, Vol 7, Iss 1, Pp 35-40 (2021) |
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DOAJ |
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EN |
| topic |
Tuberculosis Artificial intelligence Digital chest radiography Diagnosis Triage Medicine (General) R5-920 |
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Tuberculosis Artificial intelligence Digital chest radiography Diagnosis Triage Medicine (General) R5-920 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 |
| 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. |
| format |
article |
| 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 |
| title |
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_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_sort |
application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening |
| publisher |
KeAi Communications Co., Ltd. |
| publishDate |
2021 |
| url |
https://doaj.org/article/f37a52adb94b47c38c17f6e20fe0ca3f |
| work_keys_str_mv |
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