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 …

[HTML][HTML] Modern imaging of acute pulmonary embolism

CMM de Jong, LJM Kroft, TE van Mens, MV Huisman… - Thrombosis research, 2024 - Elsevier
The first-choice imaging test for visualization of thromboemboli in the pulmonary vasculature
in patients with suspected acute pulmonary embolism (PE) is multidetector computed …

Digital-Twin-Enabled IoMT system for surgical simulation using rAC-GAN

Y Tai, L Zhang, Q Li, C Zhu, V Chang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
A digital-twin (DT)-enabled Internet of Medical Things (IoMT) system for telemedical
simulation is developed, systematically integrated with mixed reality (MR), 5G cloud …

A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography

P Ajmera, A Kharat, J Seth, S Rathi, R Pant… - BMC Medical …, 2022 - Springer
Background Computed tomographic pulmonary angiography (CTPA) is the diagnostic
standard for confirming pulmonary embolism (PE). Since PE is a life-threatening condition …

Pulmonary arteries segmentation from CT images using PA‐Net with attention module and contour loss

C Yuan, S Song, J Yang, Y Sun, B Yang… - Medical Physics, 2023 - Wiley Online Library
Background: Pulmonary embolism is a kind of cardiovascular disease that threatens human
life and health. Since pulmonary embolism exists in the pulmonary artery, improving the …

Pixel-level annotated dataset of computed tomography angiography images of acute pulmonary embolism

JMC de Andrade, G Olescki, DL Escuissato, LF Oliveira… - Scientific Data, 2023 - nature.com
Pulmonary embolism has a high incidence and mortality, especially if undiagnosed. The
examination of choice for diagnosing the disease is computed tomography pulmonary …

Automatic detection of pulmonary embolism on computed tomography pulmonary angiogram scan using a three-dimensional convolutional neural network

H Zhu, G Tao, Y Jiang, L Sun, J Chen, J Guo… - European Journal of …, 2024 - Elsevier
Objective To propose a convolutional neural network (EmbNet) for automatic pulmonary
embolism detection on computed tomography pulmonary angiogram (CTPA) scans and to …

Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm–a single centre retrospective …

F Hagen, L Vorberg, F Thamm, H Ditt, A Maier… - … International Journal of …, 2024 - Springer
To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model
to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with …

Pulmonary Embolism Detection Using Machine and Deep Learning Techniques

R Vadhera, M Sharma… - Blockchain and Deep …, 2023 - Wiley Online Library
Pulmonary embolism (PE) is a disease that occurs due to blood clot in pulmonary arteries.
Various methods are available for pulmonary embolism detection. The primary method to …

Artificial Intelligence, Technostress and Work Outcomes in Healthcare: A Power Perspective on AI Characteristics

M Grüning, R Henkenjohann, D Pinto dos Santos… - 2023 - aisel.aisnet.org
Artificial intelligence (AI) has emerged as a powerful tool for complex decision-making.
However, little is known about how AI-based systems should be integrated into clinical …