A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Background Lung diseases, both infectious and non-infectious, are the most prevalent
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
The unpredictable pandemic came to light at the end of December 2019, known as the novel
coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The …
coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The …
Multi-level training and testing of CNN models in diagnosing multi-center COVID-19 and pneumonia X-ray images
Featured Application Despite their reported high accuracy, a significant limitation of current
AI-assisted COVID-19 diagnostic models is that they are often trained on datasets sourced …
AI-assisted COVID-19 diagnostic models is that they are often trained on datasets sourced …
Artificial neural network based prediction of the lung tissue involvement as an independent in‐hospital mortality and mechanical ventilation risk factor in COVID‐19
M Parczewski, J Kufel, B Aksak‐Wąs… - Journal of Medical …, 2023 - Wiley Online Library
Introduction During COVID‐19 pandemic, artificial neural network (ANN) systems have been
providing aid for clinical decisions. However, to achieve optimal results, these models …
providing aid for clinical decisions. However, to achieve optimal results, these models …
Neural Network in the Analysis of the MR Signal as an Image Segmentation Tool for the Determination of T1 and T2 Relaxation Times with Application to Cancer Cell …
A Truszkiewicz, D Bartusik-Aebisher, Ł Wojtas… - International Journal of …, 2023 - mdpi.com
Artificial intelligence has been entering medical research. Today, manufacturers of
diagnostic instruments are including algorithms based on neural networks. Neural networks …
diagnostic instruments are including algorithms based on neural networks. Neural networks …
Predicting the negative conversion time of nonsevere COVID‐19 patients using machine learning methods
J Ye, X Shao, Y Yang, F Zhu - Journal of Medical Virology, 2023 - Wiley Online Library
Based on the patient's clinical characteristics and laboratory indicators, different machine‐
learning methods were used to develop models for predicting the negative conversion time …
learning methods were used to develop models for predicting the negative conversion time …
[HTML][HTML] Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysis
Y Chawki, K Elasnaoui, M Ouhda - AIMS Electronics and Electrical …, 2024 - aimspress.com
During the COVID-19 pandemic, it was crucial for the healthcare sector to detect and classify
the virus using X-ray and CT scans. This has underlined the need for advanced Deep …
the virus using X-ray and CT scans. This has underlined the need for advanced Deep …
Comparing Convolutional Neural Networks for Covid-19 Detection in Chest X-Ray Images
N Varshney, P Madan, A Shrivastava… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
The study has been conducted to understand the effectiveness of CNN in the case of
“COVID-19” detection by using all the X-ray images of the chest. This helps the health sector …
“COVID-19” detection by using all the X-ray images of the chest. This helps the health sector …
Management of Misinformation in Critical Healthcare Using Machine Learning Algorithms and Models
The volume of activities and information disseminated daily on the Internet through different
social media platforms and channels is increasing geometrically, and we can simply assert …
social media platforms and channels is increasing geometrically, and we can simply assert …
The Design of Convolutional Neural Networks Model for Classification of Ear Diseases on Android Mobile Devices
IGPS Wijaya, H Mulyana, H Kadriyan… - JOIV: International Journal …, 2023 - joiv.org
An otorhinolaryngologist (ORL) or general practitioner diagnoses ear disease based on ear
image information. However, general practitioners refer patients to ORL for chronic ear …
image information. However, general practitioners refer patients to ORL for chronic ear …