Ontology highlight
ABSTRACT:
SUBMITTER: Zhou W
PROVIDER: S-EPMC7904842 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Nature communications 20210224 1
It is still challenging to make accurate diagnosis of biliary atresia (BA) with sonographic gallbladder images particularly in rural area without relevant expertise. To help diagnose BA based on sonographic gallbladder images, an ensembled deep learning model is developed. The model yields a patient-level sensitivity 93.1% and specificity 93.9% [with areas under the receiver operating characteristic curve of 0.956 (95% confidence interval: 0.928-0.977)] on the multi-center external validation da ...[more]