Artificial intelligence techniques to predict the airway disorders illness: a systematic review
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 …
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 …
in patients with suspected acute pulmonary embolism (PE) is multidetector computed …
Digital-Twin-Enabled IoMT system for surgical simulation using rAC-GAN
A digital-twin (DT)-enabled Internet of Medical Things (IoMT) system for telemedical
simulation is developed, systematically integrated with mixed reality (MR), 5G cloud …
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
Background Computed tomographic pulmonary angiography (CTPA) is the diagnostic
standard for confirming pulmonary embolism (PE). Since PE is a life-threatening condition …
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 …
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 …
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 …
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 …
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 …
to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with …
Pulmonary Embolism Detection Using Machine and Deep Learning Techniques
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 …
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 …
However, little is known about how AI-based systems should be integrated into clinical …