CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV

P Rajpurkar, C O'Connell, A Schechter, N Asnani… - NPJ digital …, 2020 - nature.com
Tuberculosis (TB) is the leading cause of preventable death in HIV-positive patients, and yet
often remains undiagnosed and untreated. Chest x-ray is often used to assist in diagnosis …

Chest X-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: an individual patient data meta-analysis of diagnostic accuracy

G Tavaziva, M Harris, SK Abidi, C Geric… - Clinical Infectious …, 2022 - academic.oup.com
Background Automated radiologic analysis using computer-aided detection software (CAD)
could facilitate chest X-ray (CXR) use in tuberculosis diagnosis. There is little to no evidence …

Deep learning detection of active pulmonary tuberculosis at chest radiography matched the clinical performance of radiologists

S Kazemzadeh, J Yu, S Jamshy, R Pilgrim, Z Nabulsi… - Radiology, 2023 - pubs.rsna.org
Background The World Health Organization (WHO) recommends chest radiography to
facilitate tuberculosis (TB) screening. However, chest radiograph interpretation expertise …

[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review

S Hansun, A Argha, ST Liaw, BG Celler… - Journal of medical Internet …, 2023 - jmir.org
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …

TB-Net: a tailored, self-attention deep convolutional neural network design for detection of tuberculosis cases from chest X-ray images

A Wong, JRH Lee, H Rahmat-Khah, A Sabri… - Frontiers in Artificial …, 2022 - frontiersin.org
Tuberculosis (TB) remains a global health problem, and is the leading cause of death from
an infectious disease. A crucial step in the treatment of tuberculosis is screening high risk …

A systematic review of deep learning techniques for tuberculosis detection from chest radiograph

M Oloko-Oba, S Viriri - Frontiers in medicine, 2022 - frontiersin.org
The high mortality rate in Tuberculosis (TB) burden regions has increased significantly in the
last decades. Despite the possibility of treatment for TB, high burden regions still suffer …

Deep learning for automated classification of tuberculosis-related chest X-Ray: dataset distribution shift limits diagnostic performance generalizability

S Sathitratanacheewin, P Sunanta, K Pongpirul - Heliyon, 2020 - cell.com
Background Machine learning has been an emerging tool for various aspects of infectious
diseases including tuberculosis surveillance and detection. However, the World Health …

Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed …

FA Khan, A Majidulla, G Tavaziva, A Nazish… - The Lancet Digital …, 2020 - thelancet.com
Background Deep learning-based radiological image analysis could facilitate use of chest x-
rays as triage tests for pulmonary tuberculosis in resource-limited settings. We sought to …

Artificial intelligence, radiology, and tuberculosis: a review

S Kulkarni, S Jha - Academic radiology, 2020 - Elsevier
Tuberculosis is a leading cause of death from infectious disease worldwide, and is an
epidemic in many developing nations. Countries where the disease is common also tend to …

Tuberculosis diagnostics and localization in chest X-rays via deep learning models

R Guo, K Passi, CK Jain - Frontiers in Artificial Intelligence, 2020 - frontiersin.org
For decades, tuberculosis (TB), a potentially serious infectious lung disease, continues to be
a leading cause of worldwide death. Proven to be conveniently efficient and cost-effective …