Objectives/Hypothesis To create a new strategy for monitoring pediatric otitis media (OM),
we developed a brief, reliable, and objective method for automated classification using …

… This article represented the first study to apply deep learning in the diagnosis of COM
based on CT images. This AI model has achieved a satisfactory performance. Specifically, its …

… network for classification of otitis media based on the analysis of the … between otitis media
with effusion and acute otitis media, a … performance on the overall otitis media detection with an …

… deep learning (DL) models in predicting conductive hearing loss (CHL) from otoscopic
images of ears with otitis media … A number of studies have shown that deep learning (DL) is an …

… As mentioned, deep learning is making an impact in many … deep metric learning for automatic
detection of otitis media in … -art deep metric learning methods for otitis media classification …

… Deep learning and transfer learning in conjunction with CNNs have been the most … This
approach was better than either random forest classifiers or deep learning methods, and it was …

… a glimpse to the future for otitis media (OM) diagnosis, … either recurrent acute otitis media
(AOM) or otitis media with effusion (… However, the deep learning model was used to target only a …

… We present a neural network-based model for the joint prediction of otitis media and … otitis
media and otitis media with effusion. The proposed approach is based on deep metric learning…

… Proposed deep learning model The proposed model is a deep learning model consisting
of three basic components. These components consist of attention modules, residual blocks …

… Objective: To investigate the diagnostic value of deep learning (DL) in differentiating otitis
media (OM) caused by otitis media with effusion (OME) and primary ciliary dyskinesia (PCD), …