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[HTML][HTML] Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews
A Martinez-Millana, A Saez-Saez… - International Journal of …, 2022 - Elsevier
Background Artificial intelligence is fueling a new revolution in medicine and in the
healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there …
healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there …
[HTML][HTML] Detection of pneumonia using convolutional neural networks and deep learning
P Szepesi, L Szilágyi - Biocybernetics and biomedical engineering, 2022 - Elsevier
The objective and automated detection of pneumonia represents a serious challenge in
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
[HTML][HTML] Deep learning for pneumonia detection in chest x-ray images: A comprehensive survey
This paper addresses the significant problem of identifying the relevant background and
contextual literature related to deep learning (DL) as an evolving technology in order to …
contextual literature related to deep learning (DL) as an evolving technology in order to …
Infant birth weight estimation and low birth weight classification in United Arab Emirates using machine learning algorithms
Accurate prediction of a newborn's birth weight (BW) is a crucial determinant to evaluate the
newborn's health and safety. Infants with low BW (LBW) are at a higher risk of serious short …
newborn's health and safety. Infants with low BW (LBW) are at a higher risk of serious short …
Design ensemble deep learning model for pneumonia disease classification
K El Asnaoui - International Journal of Multimedia Information …, 2021 - Springer
With the recent spread of the SARS-CoV-2 virus, computer-aided diagnosis (CAD) has
received more attention. The most important CAD application is to detect and classify …
received more attention. The most important CAD application is to detect and classify …
A deep convolutional neural network for pneumonia detection in x-ray images with attention ensemble
In the domain of AI-driven healthcare, deep learning models have markedly advanced
pneumonia diagnosis through X-ray image analysis, thus indicating a significant stride in the …
pneumonia diagnosis through X-ray image analysis, thus indicating a significant stride in the …
Pneumonia detection on chest x-ray using radiomic features and contrastive learning
Chest X-ray becomes one of the most common medical diagnoses due to its
noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X …
noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X …
M Tac: A Multispectral Multimodal Visuotactile Sensor with Beyond-Human Sensory Capabilities
To realize the exquisite interaction and precise manipulation for the robot, in this article, we
propose a multispectral multimodal visuotactile sensor named M Tac, which combines …
propose a multispectral multimodal visuotactile sensor named M Tac, which combines …
Review on chest pathogies detection systems using deep learning techniques
Chest radiography is the standard and most affordable way to diagnose, analyze, and
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …
Pneumonia detection from lung X‐ray images using local search aided sine cosine algorithm based deep feature selection method
Pneumonia is a major cause of death among children below the age of 5 years, globally. It is
especially prevalent in develo** and underdeveloped nations where the risk factors for …
especially prevalent in develo** and underdeveloped nations where the risk factors for …