… accuracy and efficiency of chest radiograph diagnosis. 80 … and externally validated using
795,055 chest radiographs 82 … , 94 significantly improves chest radiograph interpretation. This …

… chest radiographs imaged in a standing position, which were divided into train, validation, and
… Deployment into practice would require fixed operating points to be defined, based on the …

… Using our AI deployment system, we prospectively validate an AI model for COVID-19 … our
chest radiograph use-case; however, this may become unacceptably slower when deploying …

Objectives The aim of this study was to compare a diagnosis support system to detect
COVID-19 pneumonia on chest radiographs (CXRs) against radiologists of various levels of …

… Background: The chest radiograph (CXR) is the most … In this retrospective cross-sectional
pre-deployment study, we … in the assessment of digital chest radiographs for TB screening and …

… vital, and the deployment of these … validation of a neural network-driven classification model
that accurately identified cardiac devices implanted in the United States on chest radiographs…

… , site-specific deployment of algorithms should … validating a model's clinical value. In order
to demonstrate the real-world value of DL in medical imaging, algorithms should be validated …

… its prediction with ground truth on an internal validation set of 3,000 studies, which was separate
… Deployment and validation of an AI system for detecting abnormal chest radiographs in …

… for chest radiography (CXR) interpretation was deployed at … AI software had been externally
validated in multiple settings … prudent approach of performing local validations in Nigeria and …

… To develop and validate our electronic algorithm for interpreting reports, we generated
three … In this study, we evaluated a large sample of chest radiograph reports from critically ill …