AIMC Topic: COVID-19
Clear Filters Showing 421 to 430 of 2351 articles
A tree-based explainable AI model for early detection of Covid-19 using physiological data.
BMC medical informatics and decision making
Jun 24, 2024
With the outbreak of COVID-19 in 2020, countries worldwide faced significant concerns and challenges. Various studies have emerged utilizing Artificial Intelligence (AI) and Data Science techniques for disease detection. Although COVID-19 cases have ...
Determination of prognostic markers for COVID-19 disease severity using routine blood tests and machine learning.
Anais da Academia Brasileira de Ciencias
Jun 24, 2024
The need for the identification of risk factors associated to COVID-19 disease severity remains urgent. Patients' care and resource allocation can be potentially different and are defined based on the current classification of disease severity. This ...
Predicting Depression, Anxiety, and Their Comorbidity among Patients with Breast Cancer in China Using Machine Learning: A Multisite Cross-Sectional Study.
Depression and anxiety
Jun 21, 2024
Depression and anxiety are highly prevalent among patients with breast cancer. We tested the capacity of personal resources (psychological resilience, social support, and process of recovery) for predicting depression, anxiety, and comorbid depressio...
A hybrid human recognition framework using machine learning and deep neural networks.
PloS one
Jun 21, 2024
Faces are a crucial environmental trigger. They communicate information about several key features, including identity. However, the 2019 coronavirus pandemic (COVID-19) significantly affected how we process faces. To prevent viral spread, many gover...
A Paper-Based Multiplexed Serological Test to Monitor Immunity against SARS-COV-2 Using Machine Learning.
ACS nano
Jun 18, 2024
The rapid spread of SARS-CoV-2 caused the COVID-19 pandemic and accelerated vaccine development to prevent the spread of the virus and control the disease. Given the sustained high infectivity and evolution of SARS-CoV-2, there is an ongoing interest...
A high-accuracy lightweight network model for X-ray image diagnosis: A case study of COVID detection.
PloS one
Jun 18, 2024
The Coronavirus Disease 2019(COVID-19) has caused widespread and significant harm globally. In order to address the urgent demand for a rapid and reliable diagnostic approach to mitigate transmission, the application of deep learning stands as a viab...
Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis.
Journal of imaging informatics in medicine
Jun 17, 2024
Deep learning has significantly advanced the field of radiology-based disease diagnosis, offering enhanced accuracy and efficiency in detecting various medical conditions through the analysis of complex medical images such as X-rays. This technology'...
Prediction of short-term progression of COVID-19 pneumonia based on chest CT artificial intelligence: during the Omicron epidemic.
BMC infectious diseases
Jun 17, 2024
BACKGROUND AND PURPOSE: The persistent progression of pneumonia is a critical determinant of adverse outcomes in patients afflicted with COVID-19. This study aimed to predict personalized COVID-19 pneumonia progression between the duration of two wee...
A versatile automated pipeline for quantifying virus infectivity by label-free light microscopy and artificial intelligence.
Nature communications
Jun 15, 2024
Virus infectivity is traditionally determined by endpoint titration in cell cultures, and requires complex processing steps and human annotation. Here we developed an artificial intelligence (AI)-powered automated framework for ready detection of vir...
An emerging network for COVID-19 CT-scan classification using an ensemble deep transfer learning model.
Acta tropica
Jun 13, 2024
Over the past few years, the widespread outbreak of COVID-19 has caused the death of millions of people worldwide. Early diagnosis of the virus is essential to control its spread and provide timely treatment. Artificial intelligence methods are often...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32065
- Neural Networks, Computer 30249
- Algorithms 27433
- Deep Learning 26935
- Artificial Intelligence 24866
- Robotics 13394
- Image Processing, Computer-Assisted 9746
- Retrospective Studies 9358
- Magnetic Resonance Imaging 6353
- Reproducibility of Results 5671
- Tomography, X-Ray Computed 4869
- Support Vector Machine 4774
- Computational Biology 4337
- Brain 4132
- Computer Simulation 3936
Recent Journals
- Scientific reports 6855
- Sensors (Basel, Switzerland) 4794
- PloS one 4219
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1178
- Journal of chemical information and modeling 1070
- Nature communications 1054
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 877
- Journal of medical Internet research 867
- IEEE transactions on neural networks and learning systems 854