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 …
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 …
deadliest diseases. Most deaths are among persons with TB who are not reached with …
Implementing a chest X-ray artificial intelligence tool to enhance tuberculosis screening in India: Lessons learned
S Vijayan, V Jondhale, T Pande, A Khan… - PLOS Digital …, 2023 - journals.plos.org
Artificial Intelligence (AI) based chest X-ray (CXR) screening for tuberculosis (TB) is
becoming increasingly popular. Still, deploying such AI tools can be challenging due to …
becoming increasingly popular. Still, deploying such AI tools can be challenging due to …
Economic analysis of different throughput scenarios and implementation strategies of computer-aided detection software as a screening and triage test for pulmonary …
Background Artificial Intelligence (AI) systems have demonstrated potential in detecting
tuberculosis (TB) associated abnormalities from chest X-ray (CXR) images. Thus, they might …
tuberculosis (TB) associated abnormalities from chest X-ray (CXR) images. Thus, they might …
Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening
XF Cao, Y Li, HN Xin, HR Zhang, M Pai… - Chronic Diseases and …, 2021 - mednexus.org
Currently, the diagnosis of tuberculosis (TB) is mainly based on the comprehensive
consideration of the patient's symptoms and signs, laboratory examinations and chest …
consideration of the patient's symptoms and signs, laboratory examinations and chest …
[PDF][PDF] Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest x-ray? A multiplatform evaluation of five AI products used for TB …
Powered by artificial intelligence (AI), particularly deep neural networks, computer aided
detection (CAD) tools can be trained to recognize TB-related abnormalities on chest …
detection (CAD) tools can be trained to recognize TB-related abnormalities on chest …
Evaluation of an artificial intelligence (AI) system to detect tuberculosis on chest X-ray at a pilot active screening project in Guangdong, China in 2019
Q Liao, H Feng, Y Li, X Lai, J Pan… - Journal of X-ray …, 2022 - content.iospress.com
BACKGROUND: Although computer-aided detection (CAD) software employed with Artificial
Intelligence (AI) system has been developed aiming to assist tuberculosis (TB) triage …
Intelligence (AI) system has been developed aiming to assist tuberculosis (TB) triage …
Diagnostic accuracy of chest X-ray interpretation for tuberculosis by three artificial intelligence-based software in a screening use-case: an individual patient meta …
Abstract Background Chest X-ray (CXR) screening is a useful diagnostic tool to test
individuals at high risk of tuberculosis (TB), yet image interpretation requires trained human …
individuals at high risk of tuberculosis (TB), yet image interpretation requires trained human …
[HTML][HTML] A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers
Recently, the number of artificial intelligence powered computer-aided detection (CAD)
products that detect tuberculosis (TB)-related abnormalities from chest X-rays (CXR) …
products that detect tuberculosis (TB)-related abnormalities from chest X-rays (CXR) …
[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review
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 …
COVID-19 and chest radiography has an important role in the detection, and subsequent …
[HTML][HTML] User perspectives on the use of X-rays and computer-aided detection for TB
Dear Editor, In 2020, fewer than 60% of the 10 million people with TB were diagnosed and
notified. 1 A global effort is needed to reduce this diagnostic gap and diagnose TB early at …
notified. 1 A global effort is needed to reduce this diagnostic gap and diagnose TB early at …