A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation

H Jiang, Z Diao, T Shi, Y Zhou, F Wang, W Hu… - Computers in Biology …, 2023 - Elsevier
Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …

[HTML][HTML] Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

G Krishnan, S Singh, M Pathania, S Gosavi… - Frontiers in Artificial …, 2023 - frontiersin.org
As the demand for quality healthcare increases, healthcare systems worldwide are
grappling with time constraints and excessive workloads, which can compromise the quality …

Artificial intelligence as a smart approach to develop antimicrobial drug molecules: A paradigm to combat drug-resistant infections

A Talat, AU Khan - Drug Discovery Today, 2023 - Elsevier
Highlights•Artificial intelligence can combat AMR by discovering antibiotic alternatives.•AI is
fast, cost-efficient, minimum labour dependant strategy.•The chances of failure in AI based …

[HTML][HTML] Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications

E Mbunge, J Batani - Telematics and Informatics Reports, 2023 - Elsevier
Deep learning and machine learning techniques present unmatched opportunities to
improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on …

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 …

[HTML][HTML] Efficient pneumonia detection using Vision Transformers on chest X-rays

S Singh, M Kumar, A Kumar, BK Verma, K Abhishek… - Scientific Reports, 2024 - nature.com
Pneumonia is a widespread and acute respiratory infection that impacts people of all ages.
Early detection and treatment of pneumonia are essential for avoiding complications and …

[HTML][HTML] Weak localization of radiographic manifestations in pulmonary tuberculosis from chest x-ray: A systematic review

DW Feyisa, YM Ayano, TG Debelee, F Schwenker - Sensors, 2023 - mdpi.com
Pulmonary tuberculosis (PTB) is a bacterial infection that affects the lung. PTB remains one
of the infectious diseases with the highest global mortalities. Chest radiography is a …

[HTML][HTML] Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images

V Sharma, SK Gupta, KK Shukla - Intelligent Medicine, 2023 - Elsevier
Objective Tuberculosis (TB) is among the most frequent causes of infectious-disease-related
mortality. Despite being treatable by antibiotics, tuberculosis often goes misdiagnosed and …

AI for detection of tuberculosis: Implications for global health

EJ Hwang, WG Jeong, PM David, M Arentz… - Radiology: Artificial …, 2024 - pubs.rsna.org
Tuberculosis, which primarily affects developing countries, remains a significant global
health concern. Since the 2010s, the role of chest radiography has expanded in tuberculosis …

[HTML][HTML] Diagnostic accuracy of the artificial intelligence methods in medical imaging for pulmonary tuberculosis: a systematic review and meta-analysis

Y Zhan, Y Wang, W Zhang, B Ying, C Wang - Journal of Clinical Medicine, 2022 - mdpi.com
Tuberculosis (TB) remains one of the leading causes of death among infectious diseases
worldwide. Early screening and diagnosis of pulmonary tuberculosis (PTB) is crucial in TB …