Parent-led Assessment and Recognition of AOM Using Digital Ear Imaging

Acute otitis media (AOM) is the most common bacterial infection in young children and a major contributor to healthcare utilization and costs. Diagnosis relies on otoscopy and identification of tympanic membrane (TM) bulging, yet physician-performed otoscopy has variable diagnostic accuracy and depends heavily on clinical expertise. Digital otoscopy combined with artificial intelligence (AI)-based image analysis has demonstrated high diagnostic accuracy in previous studies. In a recent study by our group, digital otoscopy with an automated neural network classifier reliably ruled out otitis media in children. The PARENT-EAR randomized controlled pilot trial aims to evaluate whether parent-performed digital otoscopy at home, combined with retrospective AI analysis of captured TM images, can reduce physician visits due to suspicion of AOM. The study also assesses feasibility, diagnostic