Validating and AI Software for Assessment of Children With Ear Concerns

The goal of this observational study is to determine if the Glimpse machine learning algorithm can accurately assess ear diseases in children. Participants will: * Have a video of their ear taken by their parent or their guardian * Have a video of their ear taken by a Primary Care Physician (PCP) * Have an assessment of their eardrums and a video of their ears taken by an Ear, Nose, and Throat specialist (ENT). The videos will be used to determine if the Glimpse algorithm matches the diagnosis of the physicians.

NCT Number	NCT07243093
Lead Sponsor	Glimpse Diagnostics, Inc. Collaborators: National Institute for Biomedical Imaging and Bioengineering (NIBIB), Clinical Research Strategies
Conditions	Otalgia, Otitis Media, Otitis Media Effusion
Enrollment	658 participants
Start Date	2026-01
Primary Completion	2027-06 (estimated)
Study Completion	2027-07 (estimated)
Updated on ClinicalTrials.gov	2025-11-21