The 2021 SIIM-FISABIO-RSNA machine learning COVID-19 challenge: Annotation and standard exam classification of COVID-19 chest radiographs
We describe the curation, annotation methodology, and characteristics of the dataset used in
an artificial intelligence challenge for detection and localization of COVID-19 on chest …
an artificial intelligence challenge for detection and localization of COVID-19 on chest …
DeepCOVID-XR: an artificial intelligence algorithm to detect COVID-19 on chest radiographs trained and tested on a large US clinical data set
Background There are characteristic findings of coronavirus disease 2019 (COVID-19) on
chest images. An artificial intelligence (AI) algorithm to detect COVID-19 on chest …
chest images. An artificial intelligence (AI) algorithm to detect COVID-19 on chest …
The RSNA international COVID-19 open radiology database (RICORD)
The coronavirus disease 2019 (COVID-19) pandemic is a global health care emergency.
Although reverse-transcription polymerase chain reaction testing is the reference standard …
Although reverse-transcription polymerase chain reaction testing is the reference standard …
AIDCOV: an interpretable artificial intelligence model for detection of COVID-19 from chest radiography images
As the Coronavirus Disease 2019 (COVID-19) pandemic continues to grow globally, testing
to detect COVID-19 and isolating individuals who test positive remains the primary strategy …
to detect COVID-19 and isolating individuals who test positive remains the primary strategy …
Transfer-to-transfer learning approach for computer aided detection of COVID-19 in chest radiographs
The coronavirus disease 2019 (COVID-19) global pandemic has severely impacted lives
across the globe. Respiratory disorders in COVID-19 patients are caused by lung opacities …
across the globe. Respiratory disorders in COVID-19 patients are caused by lung opacities …
AI for radiographic COVID-19 detection selects shortcuts over signal
Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: a novel approach achieving expert radiologist-level performance using a …
Objectives The aim of this study was to leverage volumetric quantification of airspace
disease (AD) derived from a superior modality (computed tomography [CT]) serving as …
disease (AD) derived from a superior modality (computed tomography [CT]) serving as …
Deep learning for COVID-19 screening using chest x-rays in 2020: A systematic review
KC Santosh, S Ghosh, D GhoshRoy - International Journal of …, 2022 - World Scientific
Artificial Intelligence (AI) has promoted countless contributions in the field of healthcare and
medical imaging. In this paper, we thoroughly analyze peer-reviewed research …
medical imaging. In this paper, we thoroughly analyze peer-reviewed research …
COVID-19 on chest radiographs: a multireader evaluation of an artificial intelligence system
K Murphy, H Smits, AJG Knoops, MBJM Korst… - Radiology, 2020 - pubs.rsna.org
Background Chest radiography may play an important role in triage for coronavirus disease
2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the …
2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the …
How might AI and chest imaging help unravel COVID-19's mysteries?
Artificial intelligence (AI) has the potential to expand the role of chest imaging in COVID-19
beyond diagnosis to enable risk stratification, treatment monitoring, and discovery of novel …
beyond diagnosis to enable risk stratification, treatment monitoring, and discovery of novel …