AIMC Topic: COVID-19
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Artificial Intelligence in Intensive Care Medicine: Toward a ChatGPT/GPT-4 Way?
Annals of biomedical engineering
May 13, 2023
Although intensive care medicine (ICM) is a relatively young discipline, it has rapidly developed into a full-fledged and highly specialized specialty covering several fields of medicine. The COVID-19 pandemic led to a surge in intensive care unit de...
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images.
Artificial intelligence in medicine
May 9, 2023
Evolutionary algorithms have been successfully employed to find the best structure for many learning algorithms including neural networks. Due to their flexibility and promising results, Convolutional Neural Networks (CNNs) have found their applicati...
Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records.
BMC bioinformatics
May 9, 2023
BACKGROUND: An artificial-intelligence (AI) model for predicting the prognosis or mortality of coronavirus disease 2019 (COVID-19) patients will allow efficient allocation of limited medical resources. We developed an early mortality prediction ensem...
2D medical image synthesis using transformer-based denoising diffusion probabilistic model.
Physics in medicine and biology
May 5, 2023
. Artificial intelligence (AI) methods have gained popularity in medical imaging research. The size and scope of the training image datasets needed for successful AI model deployment does not always have the desired scale. In this paper, we introduce...
A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative.
PloS one
May 2, 2023
BACKGROUND: Recently, artificial intelligence (AI)-based applications for chest imaging have emerged as potential tools to assist clinicians in the diagnosis and management of patients with coronavirus disease 2019 (COVID-19).
Prediction of atmospheric pollutants in urban environment based on coupled deep learning model and sensitivity analysis.
Chemosphere
May 1, 2023
Accurate and efficient predictions of pollutants in the atmosphere provide a reliable basis for the scientific management of atmospheric pollution. This study develops a model that combines an attention mechanism, convolutional neural network (CNN), ...
Artificial intelligence-enabled clinical trials might be a faster way to perform rapid clinical trials and counter future pandemics: lessons learned from the COVID-19 period.
International journal of surgery (London, England)
May 1, 2023
Design of ear-contactless stethoscope and improvement in the performance of deep learning based on CNN to classify the heart sound.
Medical & biological engineering & computing
Apr 27, 2023
Cardiac-related disorders are rapidly growing throughout the world. Accurate classification of cardiovascular diseases is an important research topic in healthcare. During COVID-19, auscultating heart sounds was challenging as health workers and doct...
An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy.
GigaScience
Apr 26, 2023
BACKGROUND: Artificial intelligence (AI) programs that train on large datasets require powerful compute infrastructure consisting of several CPU cores and GPUs. JupyterLab provides an excellent framework for developing AI programs, but it needs to be...
Increasing acceptance of medical AI: The role of medical staff participation in AI development.
International journal of medical informatics
Apr 25, 2023
BACKGROUND: Medical artificial intelligence (AI) in varying degrees has exerted significant influence on many medical fields, especially in the midst of the COVID-19 pandemic. However, little is known regarding how to address the reluctance of medica...
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