Back to search

Article

A preliminary study of commercially available general-purpose chest radiography artificial intelligence-based software for detecting airspace opacity lesions in COVID-19 patients

2021-12-29

Abstract excerpt

<h4>Purpose</h4> To validate commercially available general-purpose artificial intelligence (AI)-based software for detecting airspace opacity in chest radiographs (CXRs) of COVID-19 patients. <h4>Materials and Methods</h4> We used the ieee8023-covid-chestxray-dataset to validate commercial AI software capable of detecting “Nodule/Mass” and “Airspace opacity” as regions of interest with probability scores. From th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
858295a4-ff75-5c4a-a03f-94bfa4110b91
DOI
10.1101/2021.12.22.21268176
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A preliminary study of commercially available general-purpose chest radiography artificial intelligence-based software for detecting airspace opacity lesions in COVID-19 patientsDOI 10.1101/2021.12.22.21268176
Detection Method of Viral Pneumonia Imaging Features Based on Ct Scan Images in Covid-19 Case StudySemantic proximity
Automated assessment of chest CT severity scores in patients suspected of COVID-19 infectionSemantic proximity
COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray imagesSemantic proximity
Application of Artificial Intelligence in Chest X-ray for Assessing Lung Nodule Malignancy Risk in Comparison to Computed TomographySemantic proximity
Impact of ROIs Delineation Strategies on the Performance of Artificial Intelligence-Aided COVID-19 Screening AlgorithmsSemantic proximity
From Voxels to Prognosis: AI-Driven Quantitative Chest CT Analysis Forecasts ICU Requirements in 78 COVID-19 CasesSemantic proximity
External Validation of an Artificial Intelligence Triaging System for Chest X-Rays: A Retrospective Independent Clinical StudySemantic proximity
A Retrospective Multi-Source Clinical Validation of Lenek Intelligent Radiology Assistant: An Artificial Intelligence-Based Chest Radiograph Screening and Triage System for High-Burden Pulmonary and Cardiac Conditions in IndiaSemantic proximity
Artificial intelligence-enabled rapid diagnosis of COVID-19 patientsSemantic proximity
AIDCOV: An Interpretable Artificial Intelligence Model for Detection of COVID-19 from Chest Radiography ImagesSemantic proximity
Determination of Robust Regional CT Radiomics Features for COVID-19Semantic proximity
Evaluation of the ‘qXR’ Software for the Detection of Pulmonary Nodules and Signs Suggestive of Heart Failure: A Comparative Analysis in a Latin American General HospitalSemantic proximity
Select a neighboring publication to make it the new centre.