Margaret R Ugalde, Danielle Guffey, Charles G Minard, Angelo P Giardino, Gwendolyn A Johnson
A Survey of School Nurse Emergency Preparedness 2014-2015
The Journal of school nursing : the official publication of the National Association of School Nurses
developed artificial intelligence models predict brain metastasis bm treatment response stereotactic radiosurgery srs using longitudinal magnetic resonance imaging mri data evaluated prediction accuracy changes according number sequential mri scans included four sequential mri scans 194 patients bm 369 target lesions developmental dataset data randomly split 82 ratio training testing external validation 172 mri scans 43 patients bm 62 target lesions additionally enrolled maximum axial diameter dmax radiomics deep learning dl models generated comparison evaluated simple convolutional neural network cnn model gated recurrent unit convgrubased cnn model dl arm convgru model performed superior simple cnn models datasets area curve auc significantly higher twodimensional 2d convgru model 3d convgru dmax radiomics models accuracy 2d convgru model increased number followup studies conclusion using longitudinal mri data 2d convgru model outperformed models predicting treatment response srs bm