ABSTRACT Artificial intelligence (AI) is set to bring significant innovations to both otology and otorhinolaryngology (ORL), significantly improving examination, diagnosis, treatment, and surgical planning. AI-enabled audiometry performs objective hearing tests, reducing the need for human interpretation and improving the accuracy of results. AI algorithms can analyze drug regimens and predict the risk of hearing damage in patients with pre-existing hearing loss or patients undergoing cochlear implants. AI-assisted image analysis can help diagnose conditions such as otosclerosis, ossicular chain defects, detection of endolymphatic hydrops, localization of tinnitus in the brain, and cholesteatoma from CT or MRI scans with high accuracy rates.