Objective To update the literature and provide a systematic review of image‐based artificial
intelligence (AI) applications in otolaryngology, highlight its advances, and propose future …

Objectives To identify and review key research advances from the literature published
between 2019 and 2023 on the diagnosis and microbiology of otitis media (OM) including …

A common infectious disease, otitis media (OM) has a low rate of early diagnosis, which
significantly increases the difficulty of treating the disease and the likelihood of serious …

Over the last decades, the field of medicine has witnessed significant progress in artificial
intelligence (AI), the Internet of Medical Things (IoMT), and deep learning (DL) systems …

Background: Otorhinolaryngology diseases are well suited for artificial intelligence (AI)-
based interpretation. The use of AI, particularly AI based on deep learning (DL), in the …

Purpose This multicenter, prospective study is designed to investigate whether severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) is present in the Middle Ear Effusion …

This review presents a comprehensive history of Artificial Intelligence (AI) in the context of
the revolutionary application of machine learning (ML) to medical research and clinical …

Otitis media is a medical concept that represents a range of inflammatory middle ear
disorders. The high costs of medical devices utilized by field experts to diagnose the disease …

Objective: To develop a deep convolutional neural network (DCNN) that can automatically
detect and track short process of incus (SPI) in various microsurgical scenarios, explore the …

Неправильний діагноз або відсутність відповідних медичних фахівців може серйозно
вплинути на стан здоров'я пацієнтів, та призвести до зайвих обстежень, що збільшує …