AIMC Topic: COVID-19
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Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks.
Computational intelligence and neuroscience
Jun 16, 2022
COVID-19 has remained a threat to world life despite a recent reduction in cases. There is still a possibility that the virus will evolve and become more contagious. If such a situation occurs, the resulting calamity will be worse than in the past if...
The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection.
Journal of voice : official journal of the Voice Foundation
Jun 15, 2022
OBJECTIVES: The coronavirus disease 2019 (COVID-19) has caused a crisis worldwide. Amounts of efforts have been made to prevent and control COVID-19's transmission, from early screenings to vaccinations and treatments. Recently, due to the spring up ...
An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey.
Journal of medical imaging and radiation sciences
Jun 15, 2022
INTRODUCTION: As a profession, radiographers have always been keen on adapting and integrating new technologies. The increasing integration of artificial intelligence (AI) into clinical practice in the last five years has been met with scepticism by ...
Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images.
Computers in biology and medicine
Jun 15, 2022
Lung infections caused by bacteria and viruses are infectious and require timely screening and isolation, and different types of pneumonia require different treatment plans. Therefore, finding a rapid and accurate screening method for lung infections...
Application of a Tele-Ultrasound Robot During COVID-19 Pandemic: A Feasibility Study.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Jun 11, 2022
OBJECTIVE: To investigate the accuracy of ultrasonic diagnosis using the tele-ultrasound robot in Leishen Shan Hospital.
Can machines learn the mutation signatures of SARS-CoV-2 and enable viral-genotype guided predictive prognosis?
Journal of molecular biology
Jun 11, 2022
MOTIVATION: Continuous emergence of new variants through appearance/accumulation/disappearance of mutations is a hallmark of many viral diseases. SARS-CoV-2 variants have particularly exerted tremendous pressure on global healthcare system owing to t...
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.
Computers in biology and medicine
Jun 7, 2022
While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' heel. Although reverse transcri...
Sequence-assignment validation in cryo-EM models with checkMySequence.
Acta crystallographica. Section D, Structural biology
Jun 7, 2022
The availability of new artificial intelligence-based protein-structure-prediction tools has radically changed the way that cryo-EM maps are interpreted, but it has not eliminated the challenges of map interpretation faced by a microscopist. Models w...
Evaluation of the models generated from clinical features and deep learning-based segmentations: Can thoracic CT on admission help us to predict hospitalized COVID-19 patients who will require intensive care?
BMC medical imaging
Jun 7, 2022
BACKGROUND: The aim of the study was to predict the probability of intensive care unit (ICU) care for inpatient COVID-19 cases using clinical and artificial intelligence segmentation-based volumetric and CT-radiomics parameters on admission.
Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT.
Scientific reports
Jun 7, 2022
The main objective of this work is to develop and evaluate an artificial intelligence system based on deep learning capable of automatically identifying, quantifying, and characterizing COVID-19 pneumonia patterns in order to assess disease severity ...
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