Evolution of machine learning in tuberculosis diagnosis: a review of deep learning-based medical applications

M Singh, GV Pujar, SA Kumar, M Bhagyalalitha… - Electronics, 2022 - mdpi.com
Tuberculosis (TB) is an infectious disease that has been a major menace to human health
globally, causing millions of deaths yearly. Well-timed diagnosis and treatment are an arch …

The COVID-19 and TB syndemic: the way forward

A Trajman, I Felker, LC Alves, I Coutinho… - … of Tuberculosis and …, 2022 - ingentaconnect.com
Together, SARS-CoV-2 and M. tuberculosis have killed approximately 5.7 million people
worldwide over the past 2 years. The COVID-19 pandemic, and the non-pharmaceutical …

[HTML][HTML] Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms

ZZ Qin, S Ahmed, MS Sarker, K Paul… - The Lancet Digital …, 2021 - thelancet.com
Background Artificial intelligence (AI) algorithms can be trained to recognise tuberculosis-
related abnormalities on chest radiographs. Various AI algorithms are available …

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] A comprehensive review on the role of artificial intelligence in power system stability, control, and protection: Insights and future directions

I Alhamrouni, NH Abdul Kahar, M Salem, M Swadi… - Applied Sciences, 2024 - mdpi.com
This review comprehensively examines the burgeoning field of intelligent techniques to
enhance power systems' stability, control, and protection. As global energy demands …

Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa

J Fehr, S Konigorski, S Olivier, R Gunda… - NPJ digital …, 2021 - nature.com
Computer-aided digital chest radiograph interpretation (CAD) can facilitate high-throughput
screening for tuberculosis (TB), but its use in population-based active case-finding programs …

Learning from COVID-19 to reimagine tuberculosis diagnosis

M Ruhwald, S Carmona, M Pai - The Lancet Microbe, 2021 - thelancet.com
The ongoing COVID-19 mass testing and vaccination campaigns are the result of
unprecedented financial investments, rapid research and development, collaborative …

Management of covid-19 detection using artificial intelligence in 2020 pandemic

M Ghaderzadeh, M Aria - … of the 5th international conference on medical …, 2021 - dl.acm.org
Successful early detection of Covid-19 disease plays an important role in improving the
effectiveness of treatment and managing the pandemic. Various diagnostic methods for the …

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 …

Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of …

ZZ Qin, M Van der Walt, S Moyo, F Ismail… - The Lancet Digital …, 2024 - thelancet.com
Background Computer-aided detection (CAD) can help identify people with active
tuberculosis left undetected. However, few studies have compared the performance of …