Artificial intelligence in advancing occupational health and safety: an encapsulation of developments

IA Shah, SD Mishra - Journal of Occupational Health, 2024 - academic.oup.com
Objectives: In an era characterized by dynamic technological advancements, the well-being
of the workforce remains a cornerstone of progress and sustainability. The evolving …

Artificial intelligence techniques to predict the airway disorders illness: a systematic review

A Koul, RK Bawa, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …

AI-based radiodiagnosis using chest X-rays: A review

Y Akhter, R Singh, M Vatsa - Frontiers in big data, 2023 - frontiersin.org
Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively cheap
radiological examination method in medical sciences. CXRs can aid in diagnosing many …

[HTML][HTML] Computer-aided diagnosis of coal workers' pneumoconiosis in chest x-ray radiographs using machine learning: A systematic literature review

L Devnath, P Summons, S Luo, D Wang… - International journal of …, 2022 - mdpi.com
Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers'
pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly …

[HTML][HTML] Deep ensemble learning for the automatic detection of pneumoconiosis in coal worker's chest X-ray radiography

L Devnath, S Luo, P Summons, D Wang… - Journal of Clinical …, 2022 - mdpi.com
Globally, coal remains one of the natural resources that provide power to the world.
Thousands of people are involved in coal collection, processing, and transportation …

Auguring fake face images using dual input convolution neural network

M Bhandari, A Neupane, S Mallik, L Gaur, H Qin - Journal of Imaging, 2022 - mdpi.com
Deepfake technology uses auto-encoders and generative adversarial networks to replace or
artificially construct fine-tuned faces, emotions, and sounds. Although there have been …

Artificial intelligence for computer aided detection of pneumoconiosis: A succinct review since 1974

F Mushtaq, S Bhattacharjee, S Mandia, K Singh… - … Applications of Artificial …, 2024 - Elsevier
With the increasing availability of medical imaging data and advancements in artificial
intelligence (AI) and computer vision (CV) techniques, computer aided diagnostic (CAD) …

[HTML][HTML] Detection and visualisation of pneumoconiosis using an ensemble of multi-dimensional deep features learned from Chest X-rays

L Devnath, Z Fan, S Luo, P Summons… - International Journal of …, 2022 - mdpi.com
Pneumoconiosis is a group of occupational lung diseases induced by mineral dust
inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung …

Use data augmentation for a deep learning classification model with chest X-ray clinical imaging featuring coal workers' pneumoconiosis

H Dong, B Zhu, X Zhang, X Kong - BMC Pulmonary Medicine, 2022 - Springer
Purpose This paper aims to develop a successful deep learning model with data
augmentation technique to discover the clinical uniqueness of chest X-ray imaging features …

An X-ray image classification method with fine-grained features for explainable diagnosis of pneumoconiosis

C Zhang, J He, L Shang - Personal and Ubiquitous Computing, 2024 - Springer
Medical image classification has become popular in computer-aided diagnosis (CAD) of
pneumoconiosis. However, most current work focuses on improving the accuracy of …