AIMC Topic: COVID-19
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Artificial intelligence for COVID-19 mortality prediction: improvement of risk stratification and clinical decision-making.
Internal and emergency medicine
Jul 14, 2023
Prediction of oxygen supplementation by a deep-learning model integrating clinical parameters and chest CT images in COVID-19.
Japanese journal of radiology
Jul 13, 2023
PURPOSE: As of March 2023, the number of patients with COVID-19 worldwide is declining, but the early diagnosis of patients requiring inpatient treatment and the appropriate allocation of limited healthcare resources remain unresolved issues. In this...
Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.
Scientific reports
Jul 13, 2023
Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 patients. The prognostic performances of the machine learning (ML)-b...
A deep learning-based drug repurposing screening and validation for anti-SARS-CoV-2 compounds by targeting the cell entry mechanism.
Biochemical and biophysical research communications
Jul 12, 2023
The recent outbreak of Corona Virus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a severe threat to the global public health and economy, however, effective drugs to treat COVID-19 are still ...
PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation.
Scientific reports
Jul 12, 2023
Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable visualization and quantification of regional lung ventilation; however, these techniques require specialized equipment and exogenous contrast, limiting clinical adop...
Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities.
Biomedical engineering online
Jul 9, 2023
Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mechanisms, has increased over the past 12 years. The COVID-19 pandemic has exacerbated the existing lack of access to rehabilitation for stroke survivor...
Unsupervised domain adaptation for Covid-19 classification based on balanced slice Wasserstein distance.
Computers in biology and medicine
Jul 5, 2023
Covid-19 has swept the world since 2020, taking millions of lives. In order to seek a rapid diagnosis of Covid-19, deep learning-based Covid-19 classification methods have been extensively developed. However, deep learning relies on many samples with...
Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study.
Scientific reports
Jul 5, 2023
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency Department (ED). To address this aim, we developed an artificial neural network using textual (e.g. patient history) and tabular (e.g. laboratory value...
Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review.
Journal of medical Internet research
Jul 3, 2023
BACKGROUND: Tuberculosis (TB) was the leading infectious cause of mortality globally prior to COVID-19 and chest radiography has an important role in the detection, and subsequent diagnosis, of patients with this disease. The conventional experts rea...
On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19.
Scientific reports
Jul 2, 2023
According to data from the U.S. Center for Disease Control and Prevention, as of June 2020, a significant number of African Americans had been infected with the coronavirus disease, experiencing disproportionately higher death rates compared to other...
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