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SARS-CoV-2
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The human-AI scoring system: A new method for CT-based assessment of COVID-19 severity.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2022
BACKGROUND: Chest computed tomography (CT) plays an important role in the diagnosis and assessment of coronavirus disease 2019 (COVID-19).
An Efficient Method for Coronavirus Detection Through X-rays Using Deep Neural Network.
Current medical imaging
Jan 1, 2022
BACKGROUND: Coronavirus (COVID-19) is a group of infectious diseases caused by related viruses called coronaviruses. In humans, the seriousness of infection caused by a coronavirus in the respiratory tract can vary from mild to lethal. A serious illn...
Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography.
Tuberkuloz ve toraks
Dec 1, 2021
INTRODUCTION: Computed tomography (CT) is an auxiliary modality in the diagnosis of the novel Coronavirus (COVID-19) disease and can guide physicians in the presence of lung involvement. In this study, we aimed to investigate the contribution of deep...
Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.
Annals of medicine
Dec 1, 2021
OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study.
Aged, 80 and over
Adult
Male
Hospitalization
Aged
Comorbidity
Severity of Illness Index
China
Cardiovascular Diseases
Middle Aged
Prognosis
Retrospective Studies
Reproducibility of Results
SARS-CoV-2
Female
Machine Learning
COVID-19
Interleukin-10
Humans
L-Lactate Dehydrogenase
Clinical Decision Rules
Diabetes Mellitus
C-Reactive Protein
Ferritins
Cohort Studies
Hypertension
New Method for Surgical Diagnostics - a Robotic Telemedical Approach.
Surgical technology international
Nov 23, 2021
Apart from the tremendous increase in the demand for telemedicine during the COVID-19 pandemic, the use of telemedical technology offers many advantages, such as better coverage of rural areas and improved access to specialists. While current teledia...
Historic opportunity: artificial intelligence interventions in COVID-19 and other unknown diseases.
Acta biochimica et biophysica Sinica
Nov 10, 2021
A disposable force regulation mechanism for throat swab robot.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Robots can protect healthcare workers from being infected by the COVID-19 and play a role in throat swab sampling operation. A critical requirement in this process is to maintain a constant force on the tissue for ensuring a safe and good sampling. I...
Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
The COVID-19 outbreak has caused the mortality worldwide and the use of swab sampling is a common way of screening and diagnosis. To combat respiratory infectious diseases and assist sampling, robots have been utilized and shown promising potentials....
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Topological Data Analysis (TDA) has emerged recently as a robust tool to extract and compare the structure of datasets. TDA identifies features in data (e.g., connected components and holes) and assigns a quantitative measure to these features. Sever...
A comprehensive evaluation of state-of-the-art time-series deep learning models for activity-recognition in post-stroke rehabilitation assessment.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
The recent COVID-19 pandemic has further high-lighted the need for improving tele-rehabilitation systems. One of the common methods is to use wearable sensors for monitoring patients and intelligent algorithms for accurate and objective assessments. ...
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