Image-Based Artificial Intelligence Technology for Diagnosing Middle Ear Diseases: A Systematic Review.

ABSTRACT: Otolaryngological diagnoses, such as otitis media, are traditionally performed using endoscopy, wherein diagnostic accuracy can be subjective and vary among clinicians. The integration of objective tools, like artificial intelligence (AI), could potentially improve the diagnostic process by minimizing the influence of subjective biases and variability. We systematically reviewed the AI techniques using medical imaging in otolaryngology. Relevant studies related to AI-assisted otitis media diagnosis were extracted from five databases: Google Scholar, PubMed, Medline, Embase, and IEEE Xplore, without date restrictions. Publications that did not relate to AI and otitis media diagnosis or did not utilize medical imaging were excluded. Of the 32identified studies, 26 used tympanic membrane imag

SUBMITTER: Song D 

PROVIDER: S-EPMC10531728 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature