[HTML][HTML] A chest radiograph scoring system in patients with severe acute respiratory infection: a validation study

E Taylor, K Haven, P Reed, A Bissielo, D Harvey… - BMC medical …, 2015 - Springer
… in interpreting pediatric chest radiographs reviewed the 125 chest radiographs of the … in
interpreting adult chest radiographs reviewed the 125 chest radiographs of adult patients. These …

[HTML][HTML] Dynamic chest radiography: clinical validation of ventilation and perfusion metrics derived from changes in radiographic lung density compared to nuclear …

R Tanaka, I Matsumoto, M Tamura… - … Imaging in Medicine …, 2021 - ncbi.nlm.nih.gov
… digital radiography technology have led to the development of dynamic chest radiography
(… than that of conventional chest radiography, and that sequential chest radiographs can be …

[HTML][HTML] Clinical validation of a deep learning algorithm for detection of pneumonia on chest radiographs in emergency department patients with acute febrile …

JH Kim, JY Kim, GH Kim, D Kang, IJ Kim, J Seo… - Journal of Clinical …, 2020 - mdpi.com
… All acute FRI patients in the present study underwent posteroanterior chest radiographs,
acquired with a single dedicated radiography unit (GC85A, Samsung Healthcare, Seoul, Korea)…

A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs

NH Nguyen, HQ Nguyen, NT Nguyen… - arXiv preprint arXiv …, 2021 - arxiv.org
… We have discussed in this paper a mechanism for validating the performance of the VinDr-CXR
system in classifying normal/abnormal chest radiographs at the Phu Tho General …

[HTML][HTML] Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation …

D Ueda, A Yamamoto, A Shimazaki, SL Walston… - BMC cancer, 2021 - Springer
… The purpose of the present study was to validate a commercially available AI-based CAD
that achieved higher performance in detecting lung cancer from chest radiographs. To …

[HTML][HTML] Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings

NH Nguyen, HQ Nguyen, NT Nguyen… - Frontiers in Digital …, 2022 - frontiersin.org
Background The purpose of this paper is to demonstrate a mechanism for deploying and
validating an AI-based system for detecting abnormalities on chest X-ray scans at the Phu Tho …

[HTML][HTML] Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography …

J Rudolph, B Schachtner, N Fink, V Koliogiannis… - Scientific Reports, 2022 - nature.com
… We defined the four target diseases as common, clinically important thoracic diseases of
emergency radiology for which the primary diagnosis is usually made by chest radiography and …

Development and validation of a deep learning–based automated detection algorithm for major thoracic diseases on chest radiographs

EJ Hwang, S Park, KN Jin, J Im Kim, SY Choi… - JAMA network …, 2019 - jamanetwork.com
… on chest radiographs. [published online November 12, 2018]. … Importance Interpretation
of chest radiographs is a … chest radiographs may help streamline the clinical workflow. …

Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice

CH Liang, YC Liu, MT Wu, F Garcia-Castro… - Clinical radiology, 2020 - Elsevier
… A retrospectively obtained independent set of de-identified chest radiographs (… chest CT
within 2 weeks of chest radiography was used to evaluate the performance of the QUIBIM Chest

[HTML][HTML] Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation

MW Sjoding, D Taylor, J Motyka, E Lee… - The Lancet Digital …, 2021 - thelancet.com
… could first learn to extract general features from chest radiographs by pretraining the CNN
to identify other common findings on chest radiographic studies, it might be able to borrow …