Assessment of an App Based on Artificial Intelligence for Purulent AOM Diagnosis in a Pediatric Department

Ear infections in children are very common, particularly acute otitis media (AOM) which represents the first reason for visiting physicians and for antibiotic prescription in children in developed countries. However, the diagnosis is not easy because of the narrowness of the ear canal, the discomfort of the child during the otoscopic exam. Moreover, the accuracy of the AOM diagnosis depends on the subjectivity of the physician mostly. This can result in an misdiagnosis and inappropriate treatment with, as a result, the emergence of multi-resistant germ. Artificial intelligence (AI) in medicine is booming and has already proven its worth in terms of prevention, monitoring and diagnosis. I-Nside, an app based on Artificial Intelligence is able to make automatic diagnosis of many ear pathologies, after capturing picture of any eardrum using an otoendoscope fixed on a connected smartphone (SmartScope®). Therefore, the investigators aim to assess the accuracy of AOM diagnosis the existing app, by comparing the inter-rater agreement between the diagnosis made by a senior physician using a traditional otoscope (considered as "gold standard" ) and the one made by a junior physician using the app