Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays

NN Das, N Kumar, M Kaur, V Kumar, D Singh - Irbm, 2022 - Elsevier
The most widely used novel coronavirus (COVID-19) detection technique is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …

Using X-ray images and deep learning for automated detection of coronavirus disease

K El Asnaoui, Y Chawki - Journal of Biomolecular Structure and …, 2021 - Taylor & Francis
Coronavirus is still the leading cause of death worldwide. There are a set number of COVID-
19 test units accessible in emergency clinics because of the expanding cases daily …

[HTML][HTML] Physiotherapy management for COVID-19 in the acute hospital setting and beyond: an update to clinical practice recommendations

P Thomas, C Baldwin, L Beach, B Bissett, I Boden… - Journal of …, 2022 - Elsevier
This document provides an update to the recommendations for physiotherapy management
for adults with coronavirus disease 2019 (COVID-19) in the acute hospital setting. It …

Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?

AA Malik, T Masood, R Kousar - Journal of Manufacturing Systems, 2021 - Elsevier
As the COVID-19 pandemic expands, the shortening of medical equipment is swelling. A key
piece of equipment getting far-out attention has been ventilators. The difference between …

Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs

AMA Hussein, AG Sharifai, OM Alia, L Abualigah… - Scientific reports, 2024 - nature.com
The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-
time polymerase chain reaction. However, this method has several drawbacks, including …

Professional and ethical issues in United States acute care physical therapists treating patients with COVID-19: stress, walls, and uncertainty

RE Ditwiler, LL Swisher, DD Hardwick - Physical therapy, 2021 - academic.oup.com
Objective To the authors' knowledge, no peer-reviewed research has explored professional
and ethical issues encountered by physical therapists in treating patients with COVID-19 …

Using CFW-net deep learning models for X-ray images to detect COVID-19 patients

W Wang, H Liu, J Li, H Nie, X Wang - International Journal of …, 2021 - atlantis-press.com
COVID-19 is an infectious disease caused by severe acute respiratory syndrome (SARS)-
CoV-2 virus. So far, more than 20 million people have been infected. With the rapid spread …

[PDF][PDF] Fizyoterapistlerde COVID-19 Korkusu ve Yaşam Kalitesi Arasındaki İlişki.

B Taspinar, F Taspinar, H Gulmez… - Forbes Journal of …, 2021 - jag.journalagent.com
Amaç: Bu çalışma, COVID-19 pandemisi döneminde fizyoterapistlerin COVID-19 korkusu ve
yaşam kalitesi arasındaki ilişkiyi değerlendirmek amacıyla planlanmıştır. Yöntem …

Exploratory analysis of physical therapy process of care and psychosocial impact of the COVID-19 pandemic on physical therapists

D Tiwari, K Naidoo, N Chatiwala, PL Bartlo… - Physical …, 2021 - academic.oup.com
Objective The purpose of this study was to investigate the physical therapy process of care,
clinical practices, and the self-reported psychosocial impact of working during the 2020 …

[PDF][PDF] Early fever detection on COVID-19 infection using thermoelectric module generators

D Sanin-Villa, OD Monsalve-Cifuentes… - Int. J. Electr. Comput …, 2021 - academia.edu
In 2020 the COVID-19 pandemic has suddenly stopped society and changed human
interaction. In this work, a thermoelectric generator wearable device for early fever detection …