… validation techniques (the retrospective internal validation dataset). We next externally validated
… environment, and because the DL model would be deployed on all adult CXRs, controls …

… Each of our experiments follows a 10x cross-validation … processing time of each chest
radiograph. Beside the increased … possible feature combination, and deploy the system in Kenya …

… that first used only initial chest radiographs (CXRs) from an … We validated the algorithm with
higher resolution images and … Future work with expert radiologists will validate the utility of …

… Chest radiographs) which is, to the best of our knowledge, one of the largest and most
exhaustively labeled public chest x-… to reduce the variability in validation metrics, we experimented …

… This work aims to build and deploy deep Convolutional Neural Networks(CNN) image …
The approach has still not been subjected to medical validation; therefore, the results may …

… The majority of studies with external validation demonstrate diminished algorithm … model
on external validation. This study performs external validation not only after deployment in a …

… experience with medical AI has validated these concerns, with … chest radiographs. This
dataset was released in 2017 and updated later the same year, containing 112,120 frontal chest …

… validated and blind reviewed with the help of two radiologists at Thanjavur Medical College
& Hospitals by collecting 2216 chest … -need-for-rt-pcr-test-2145687.html, nd) was deployed at …

… ) was trained on 24 678 chest radiographs, including 1540 used only for validation while
training. The test set consisted of a set of continuously acquired chest radiographs (n = 454) …

… in deployment (4), which have all been explored previously (5). In this article, we use the
chest radiograph … ) and later (ie, local validation) in the machine learning deployment pipeline. …