Artificial intelligence-based software with CE mark for chest X-ray interpretation: Opportunities and challenges

SC Fanni, A Marcucci, F Volpi, S Valentino, E Neri… - Diagnostics, 2023 - mdpi.com
Chest X-ray (CXR) is the most important technique for performing chest imaging, despite its
well-known limitations in terms of scope and sensitivity. These intrinsic limitations of CXR …

Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with …

J Creswell, LNQ Vo, ZZ Qin, M Muyoyeta… - BMC Global and Public …, 2023 - Springer
Despite 30 years as a public health emergency, tuberculosis (TB) remains one of the world's
deadliest diseases. Most deaths are among persons with TB who are not reached with …

The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination

C Geric, ZZ Qin, CM Denkinger, SV Kik… - … of Tuberculosis and …, 2023 - ingentaconnect.com
We provide an overview of the latest evidence on computer-aided detection (CAD) software
for automated interpretation of chest radiographs (CXRs) for TB detection. CAD is a useful …

Comparison of commercial AI software performance for radiograph lung nodule detection and bone age prediction

KG van Leeuwen, S Schalekamp, MJCM Rutten… - Radiology, 2024 - pubs.rsna.org
Background Multiple commercial artificial intelligence (AI) products exist for assessing
radiographs; however, comparable performance data for these algorithms are limited …

Predicting the risk of osteoporosis in older Vietnamese women using machine learning approaches

HM Bui, MH Ha, HG Pham, TP Dao, TTT Nguyen… - Scientific Reports, 2022 - nature.com
Osteoporosis contributes significantly to health and economic burdens worldwide. However,
the development of osteoporosis-related prediction tools has been limited for lower-middle …

Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities

S Kazemzadeh, AP Kiraly, Z Nabulsi, N Sanjase… - NEJM AI, 2024 - ai.nejm.org
Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities | NEJM
AI Skip to main content NEJM AI homepage Advanced Search SEARCH NEJM AI homepage …

Computer-Aided Detection for Chest Radiography to Improve the Quality of Tuberculosis Diagnosis in Vietnam's District Health Facilities: An Implementation Study

AL Innes, A Martinez, X Gao, N Dinh, GL Hoang… - Tropical Medicine and …, 2023 - mdpi.com
In Vietnam, chest radiography (CXR) is used to refer people for GeneXpert (Xpert) testing to
diagnose tuberculosis (TB), demonstrating high yield for TB but a wide range of CXR …

[HTML][HTML] Tuberculosis diagnosis: Current, ongoing, and future approaches

G Bartolomeu-Gonçalves, JM Souza, BT Fernandes… - Diseases, 2024 - mdpi.com
Tuberculosis (TB) remains an impactful infectious disease, leading to millions of deaths
every year. Mycobacterium tuberculosis causes the formation of granulomas, which will …

Diagnostic accuracy of TB screening tests in a prospective multinational cohort: Chest-X-ray with computer-aided detection, Xpert TB host response, and C-reactive …

R Crowder, B Thangakunam, A Andama… - Clinical Infectious …, 2024 - academic.oup.com
Background Accessible, accurate screening tests are necessary to advance tuberculosis
(TB) case finding and early detection in high-burden countries. Methods We prospectively …

Diagnostic accuracy of computer-aided detection during active case finding for pulmonary tuberculosis in Africa: a systematic review and meta-analysis

AJ Scott, T Perumal, A Hohlfeld… - Open forum …, 2024 - academic.oup.com
Background Computer-aided detection (CAD) may be a useful screening tool for
tuberculosis (TB). However, there are limited data about its utility in active case finding (ACF) …