Active case finding to detect symptomatic and subclinical pulmonary tuberculosis disease: implementation of computer-aided detection for chest radiography in Viet Nam
In Viet Nam, Double X community case finding detected pulmonary TB, including subclinical TB. Computer-aided detection software may have the potential to identify subclinical TB on chest radiographs by classifying multilabel radiographic abnormalities, but further research is needed.
Authors
- Anh L. Innes (ORCID: https://orcid.org/0009-0004-0425-9797)
- Tuan Ho Thanh Luu (ORCID: https://orcid.org/0000-0001-9492-2337)
- Huy Minh Pham (ORCID: https://orcid.org/0000-0002-5126-6736)
- Hoa Binh Nguyen (ORCID: https://orcid.org/0000-0002-1543-4907)
- Nhi Dinh
- Van Cu Nguyen
- Thi Thu Trang Le
- Victoria Lebrun (ORCID: https://orcid.org/0000-0003-2925-1498)
- Van Chinh Trieu
- Andrés Martínez (ORCID: https://orcid.org/0000-0002-0763-1978)
- Nguyen Viet Nhung (ORCID: https://orcid.org/0000-0002-5447-133X)
- Gia Linh Hoang (ORCID: https://orcid.org/0000-0001-5922-2685)
- Thu Hien
- Thi Bich Phuong Nguyen
- Thi Truong
- Nghi Do Bao Tran
- Van Luong Dinh
- Viet Vu
Institutions
- Family Health International 360 (US)
- Vietnam National University, Hanoi (VN)
- United States Agency for International Development (US)
- Viet Nam University Of Traditional Medicine (VN)
- Hanoi Lung Hospital (VN)
Publication Details
- Published
- 2024-12-31
- DOI
- https://doi.org/10.5365/wpsar.2024.15.4.1118
- Citations
- 4
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- United States Agency for International Development
- FHI 360