AIMC Topic: COVID-19
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Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults.
Chest
Nov 1, 2023
BACKGROUND: Machine learning (ML)-derived notifications for impending episodes of hemodynamic instability and respiratory failure events are interesting because they can alert physicians in time to intervene before these complications occur.
MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis.
Scientific reports
Oct 31, 2023
The rapid spread of the severe acute respiratory syndrome coronavirus 2 led to a global overextension of healthcare. Both Chest X-rays (CXR) and blood test have been demonstrated to have predictive value on Coronavirus Disease 2019 (COVID-19) diagnos...
Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques.
Frontiers in public health
Oct 31, 2023
INTRODUCTION: Machine-assisted topic analysis (MATA) uses artificial intelligence methods to help qualitative researchers analyze large datasets. This is useful for researchers to rapidly update healthcare interventions during changing healthcare con...
Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.
Medical & biological engineering & computing
Oct 27, 2023
Recently, fundus photography (FP) is being increasingly used. Corneal curvature is an essential factor in refractive errors and is associated with several pathological corneal conditions. As FP-based examination systems have already been widely distr...
Using artificial intelligence to improve public health: a narrative review.
Frontiers in public health
Oct 26, 2023
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. AI has been predominantly employed in medicine and healthcare administration. However, in public health, the widespread employment of AI only began re...
Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study.
Scientific reports
Oct 25, 2023
The Advent of Artificial Intelligence (AI) has led to the use of auditory data for detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more than six million lives to date and therefore, needs a robust screening technique ...
A novel bidirectional LSTM deep learning approach for COVID-19 forecasting.
Scientific reports
Oct 20, 2023
COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pand...
From an On-site Program to a Mobile App for Prehabilitation and Rehabilitation for Robotic Radical Prostatectomy: Lessons Learned from 5 Years of Experience, the COVID-19 Outbreak, and Comparison with Nationwide Data.
European urology oncology
Oct 19, 2023
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surgery. However, there are few data on robot-assisted radical prostatectomy, and prehabilitation programs may be challenging to launch and maintain over ti...
Blue-emitting SiO-coated Si-doped ZnSeS quantum dots conjugated aptamer-molecular beacon as an electrochemical and metal-enhanced fluorescence biosensor for SARS-CoV-2 spike protein.
Analytica chimica acta
Oct 17, 2023
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was first reported in early January 2020, continues to devastate the worlds public health system. Herein, we report on the development of a novel metal-enhanced fluore...
Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study.
Journal of medical Internet research
Oct 17, 2023
BACKGROUND: Influenza outbreaks pose a significant threat to global public health. Traditional surveillance systems and simple algorithms often struggle to predict influenza outbreaks in an accurate and timely manner. Big data and modern technology h...
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