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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

203 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-06-10

Study Completion Date

2023-03-16

Brief Summary

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Otitis media (OM) is one of the most common childhood infections and is a major cause of morbidity in children and results as being the first cause of antibiotic prescription among children in developed countries . An artificial intelligence-based tool could help physicians refine their diagnosis

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Detailed Description

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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

Conditions

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Otitis Media, Suppurative

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

SEQUENTIAL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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AOM diagnosis with app

Group Type EXPERIMENTAL

AOM diagnosis with app

Intervention Type OTHER

the diagnosis made by a senior physician using a traditional otoscope. the diagnosis made by the junior physician using an otoendoscope fixed on a connected smartphone

AOM diagnosis without app

Group Type OTHER

AOM diagnosis without app

Intervention Type OTHER

the diagnosis made by a senior physician and by the junior physician, using a traditional otoscope

Interventions

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AOM diagnosis with app

the diagnosis made by a senior physician using a traditional otoscope. the diagnosis made by the junior physician using an otoendoscope fixed on a connected smartphone

Intervention Type OTHER

AOM diagnosis without app

the diagnosis made by a senior physician and by the junior physician, using a traditional otoscope

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

Child under 18 years Presenting signs that may suggest acute otitis media (fever, earache, purulent otorrhea) For which the informed written consent of, at least, one of the two parents or the holder of parental authority has been obtained