In machine learning, two approaches outperform traditional algorithms: ensemble learning
and deep learning. The former refers to methods that integrate multiple base models in the …

Artificial intelligence (AI) is making computer systems capable of executing human brain
tasks in many fields in all aspects of daily life. The enhancement in information and …

Patients with odontogenic cysts and tumors may have to undergo serious surgery unless the
lesion is properly detected at the early stage. The purpose of this study is to evaluate the …

The importance of tele-audiology has been heightened by the current COVID-19 pandemic.
The present article reviews the current state of tele-audiology practice while presenting its …

Acute and chronic wounds are a challenge to healthcare systems around the world and
affect many people's lives annually. Wound classification is a key step in wound diagnosis …

In this study, we propose an automatic diagnostic algorithm for detecting otitis media based
on otoscopy images of the tympanic membrane. A total of 1336 images were assessed by a …

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

The advances in artificial intelligence that are transforming many fields have yet to make an
impact in hearing. Hearing healthcare continues to rely on a labour-intensive service model …

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 …

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 …