[HTML][HTML] Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem
Computer-aided-diagnosis and stratification of COVID-19 based on chest X-ray suffers from
weak bias assessment and limited quality-control. Undetected bias induced by inappropriate …
weak bias assessment and limited quality-control. Undetected bias induced by inappropriate …
AI-based radiodiagnosis using chest X-rays: A review
Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively cheap
radiological examination method in medical sciences. CXRs can aid in diagnosing many …
radiological examination method in medical sciences. CXRs can aid in diagnosing many …
FedSGDCOVID: Federated SGD COVID-19 detection under local differential privacy using chest X-ray images and symptom information
Coronavirus (COVID-19) has created an unprecedented global crisis because of its
detrimental effect on the global economy and health. COVID-19 cases have been rapidly …
detrimental effect on the global economy and health. COVID-19 cases have been rapidly …
Bioinformatics, computational informatics, and modeling approaches to the design of mRNA COVID-19 vaccine candidates
This article is devoted to applying bioinformatics and immunoinformatics approaches for the
development of a multi-epitope mRNA vaccine against the spike glycoproteins of circulating …
development of a multi-epitope mRNA vaccine against the spike glycoproteins of circulating …
Frequency of missed findings on chest radiographs (CXRs) in an international, multicenter study: application of AI to reduce missed findings
P Kaviani, MK Kalra, SR Digumarthy, RV Gupta… - Diagnostics, 2022 - mdpi.com
Background: Missed findings in chest X-ray interpretation are common and can have serious
consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at …
consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at …
DPCOVID: privacy-preserving federated Covid-19 detection
TT Ho - arXiv preprint arXiv:2110.13760, 2021 - arxiv.org
Coronavirus (COVID-19) has shown an unprecedented global crisis by the detrimental effect
on the global economy and health. The number of COVID-19 cases has been rapidly …
on the global economy and health. The number of COVID-19 cases has been rapidly …
Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainability
In the past few years COVID-19 posed a huge threat to healthcare systems around the
world. One of the first waves of the pandemic hit Northern Italy severely resulting in high …
world. One of the first waves of the pandemic hit Northern Italy severely resulting in high …
Bioinformatics, computational informatics, and modeling approaches to the design of mRNA COVID-19 vaccine candidates
This article is devoted to applying bioinformatics and immunoinformatics approaches for the
development of a multi-epitope mRNA vaccine against the spike glycoproteins of circulating …
development of a multi-epitope mRNA vaccine against the spike glycoproteins of circulating …
AI-based radiodiagnosis using chest X-rays: A review
Abstract Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively
cheap radiological examination method in medical sciences. CXRs can aid in diagnosing …
cheap radiological examination method in medical sciences. CXRs can aid in diagnosing …
[PDF][PDF] Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings. Diagnostics …
P Kaviani, MK Kalra, SR Digumarthy, RV Gupta… - 2022 - academia.edu
Background: Missed findings in chest X-ray interpretation are common and can have serious
consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at …
consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at …