POP |
Pelvic organ prolapse |
AI |
Artificial intelligence |
AUC |
Area Under the Curve |
CLAIM |
Checklist for Artificial Intelligence in Medical Imaging |
CNN |
Convolutional neural network |
CONSORT |
Consolidated Standards of Reporting Trials |
CT |
Computer tomography |
DE |
Deep encoder (Encoder–Decoder) |
DL |
Deep learning |
GDPR |
General Data Protection Regulation |
JBI |
Joanna Briggs Institute |
MRI |
Magnetic resonance imaging |
PCC |
Population–Concept–Context |
PRISMA-ScR |
Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews |
SHAP |
Shapley Additive exPlanations |
SVM |
Support vector machine |
VGG |
Visual Geometry Group |
ViT |
Video transformer |
ResNet-18 |
Residual Neural Network with 18 layers |
XGBoost |
eXtreme Gradient Boosting |
PACS |
Picture Archiving and Communication Systems |
FDA |
Food and Drug Administration |
EMA |
European Medicines Agency |
POP-Q |
Pelvic organ prolapse quantification system |