Background Ear and mastoid disease can easily be treated by early detection and
appropriate medical care. However, short of specialists and relatively low diagnostic …

Early detection and appropriate medical treatment are of great use for ear disease.
However, a new diagnostic strategy is necessary for the absence of experts and relatively …

Background Middle ear diseases such as otitis media and middle ear effusion, for which
diagnoses are often delayed or misdiagnosed, are among the most common issues faced by …

Convolutional neural networks (CNNs), a popular type of deep neural network, have been
actively applied to image recognition, object detection, object localization, semantic …

Objectives To summarise the accuracy of artificial intelligence (AI) computer vision
algorithms to classify ear disease from otoscopy. Design Systematic review and meta …

Otitis media (OM) refers to a group of inflammatory diseases regarding the middle ear.
Although there are a wide variety of disease types regarding OM, the most commonly seen …

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 …

In medicine, a misdiagnosis or the absence of specialists can affect the patient's health,
leading to unnecessary tests and increasing the costs of healthcare. In particular, the lack of …

Objectives: The purpose of this study was to develop a deep-learning framework for the
diagnosis of chronic otitis media (COM) based on temporal bone computed tomography …

Otitis media (OM) is a term used to describe the inflammation of the middle ear. The clinical
inspection of the tympanic membrane is conducted visually by experts. Visual inspection …