Condition: Acute Otitis Media (AOM) · Upper Respiratory Infection · Sponsor: Timothy Shope
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.
This description comes directly from the study's public registry record.
Timothy R Shope, MD, MPH · 412-692-5471 · timothy.shope@chp.edu
Nader Shaikh, MD, MPH · 412-996-2653 · nader.shaikh@chp.edu
Always discuss trial participation with your own doctor first.
| Children's Community Pediatrics Brentwood | Pittsburgh, Pennsylvania, United States | Recruiting |
| Children's Community Pediatrics Castle Shannon | Pittsburgh, Pennsylvania, United States | Recruiting |
Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.
We email about this public record only. Unsubscribe anytime with one click. Never medical advice.
This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.
Source record: clinicaltrials.gov/study/NCT06876259