Artificial Intelligence Diagnostic Decision Support to Reduce Antimicrobial Prescriptions in Young Children With Colds

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age6-24
SponsorTimothy Shope

About this trial

Ear infections are common in young children with cold symptoms, but they can be difficult to diagnose due to small ear canals, child movement, and limited viewing time. In this study, investigators will take photos of the eardrums of children 6-24 months of age with upper respiratory symptoms. The photos will be reviewed by imaging software enhanced with artificial intelligence (AI app) to determine whether the AI app changes how ear infections are diagnosed and treated. The AI app has undergone rigorous study and was found to be highly accurate; but how using this technology affects the diagnosis and treatment by clinicians has not been studied. This research may help improve diagnostic accuracy for ear infections and ensure antibiotics are prescribed only for those children who have definite ear infections.

Eligibility criteria

Qualifiers

Age 6-24 months

Presence of upper respiratory infection

Disqualifiers

No upper respiratory infection

Otorrhea

Tympanostomy tubes

Currently taking antimicrobials

Trial design

Treatments tested in this trial

  • Standard Clinical Ear Exam
  • AI app ear exam and diagnosis

Treatment groups

300 Participants
are divided into 1 treatment group

Sponsors and collaborators

Timothy Shope

Lead sponsor

University of Pittsburgh

Sponsor institution

Merck Sharp & Dohme LLC

Collaborator