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

NCT04752891 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 203

Last updated 2023-03-17

No results posted yet for this study

Summary

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

Conditions

  • Otitis Media, Suppurative

Interventions

OTHER

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

OTHER

AOM diagnosis without app

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

Sponsors & Collaborators

  • Fondation Lenval

    lead OTHER

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
SEQUENTIAL

Eligibility

Max Age
17 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-10
Primary Completion
2022-08-16
Completion
2023-03-16

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04752891 on ClinicalTrials.gov