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 …

Reimagining the status quo: How close are we to rapid sputum-free tuberculosis diagnostics for all?

RR Nathavitharana, AL Garcia-Basteiro, M Ruhwald… - …, 2022 - thelancet.com
Rapid, accurate, sputum-free tests for tuberculosis (TB) triage and confirmation are urgently
needed to close the widening diagnostic gap. We summarise key technologies and review …

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

K Dvijotham, J Winkens, M Barsbey, S Ghaisas… - Nature Medicine, 2023 - nature.com
Predictive artificial intelligence (AI) systems based on deep learning have been shown to
achieve expert-level identification of diseases in multiple medical imaging settings, but can …

Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis

MK Mahbub, M Biswas, L Gaur, F Alenezi… - Information Sciences, 2022 - Elsevier
Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …

Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis

AJ Codlin, TP Dao, LNQ Vo, RJ Forse, V Van Truong… - Scientific reports, 2021 - nature.com
There have been few independent evaluations of computer-aided detection (CAD) software
for tuberculosis (TB) screening, despite the rapidly expanding array of available CAD …

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 …

Update on the diagnosis of tuberculosis

I Kontsevaya, AM Cabibbe, DM Cirillo… - Clinical Microbiology …, 2023 - Elsevier
Background Tuberculosis remains a global public health threat, and the development of
rapid and precise diagnostic tools is the key to enabling the early start of treatment …

Mind the gap–managing tuberculosis across the disease spectrum

H Esmail, L Macpherson, AK Coussens… - …, 2022 - thelancet.com
We currently have a binomial approach to managing tuberculosis. Those with active
disease, ideally confirmed microbiologically, are treated with a standard 6-month, multi-drug …

Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

S Park, G Kim, Y Oh, JB Seo, SM Lee, JH Kim… - Nature …, 2022 - nature.com
Although deep learning-based computer-aided diagnosis systems have recently achieved
expert-level performance, developing a robust model requires large, high-quality data with …

[HTML][HTML] Assistive artificial intelligence for ultrasound image interpretation in regional anaesthesia: an external validation study

JS Bowness, D Burckett-St Laurent… - British journal of …, 2023 - Elsevier
Background Ultrasonound is used to identify anatomical structures during regional
anaesthesia and to guide needle insertion and injection of local anaesthetic. ScanNav …