… (DLS) to interpret chest radiographs for imaging features of … We designed our study to
model real-world deployment … First, this study was retrospective; prospective validation studies …

… A segmentation scheme is deployed that uses the detected blob as a starting point to …
Such a validation requires a carefully executed observer study with several radiologists and …

… The development, deployment, and eventual adoption of … and bias, and clinical validation.
We describe each consideration and … model to detect pneumonia in chest radiographs: a cross-…

… To help guide this growth in AI development and deployment… that have undergone external
validation has shown that only … domain (eg mammography and chest radiograph) and task (…

… As approximately 5% (44 patients contributing 151 images) of patients in the hold-out test
set also underwent chest radiography at one of the institutions in our training or validation sets …

… sites using split-sample validation. A total of 158,323 chest radiographs were drawn from three
… give pause to those considering rapid deployment of such systems without first assessing …

… validated on a large dataset collected from a separate study. Our results from over 30
independently conducted cross-validation … Because we trained each model and deployed each as …

… of pneumonia on chest radiographs and compared against … deployment and implementation
strategies in future practice. … of chest radiographs with radiologist level validation and test …

… cross validation with repeated five-fold cross validation … (A, B, C) and validation datasets
from the remaining two sites (… use of differences in the deployed neural networks, training and …

… and pursue safe, wide-scale deployment. The goal of this research … is because the lack of
validation for negative results can … products are being evaluated in a deployment rather than in-…