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 …

The integration of artificial intelligence (AI) into medical disciplines is rapidly transforming
healthcare delivery, with audiology being no exception. By synthesizing the existing …

Various non-invasive delivery systems have recently been developed as an alternative to
conventional injections. Local transdermal administration represents the most attractive …

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 …

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 …

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 …

Artificial intelligence (AI) is poised to bring significant changes to health care. Several
landmark studies have already demonstrated AI's ability to streamline medical diagnosis …

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 …

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 …