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Validating and AI Software for Assessment of Children With Ear Concerns

StatusNot Yet Recruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
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.
Trial Details
NCT Number NCT07243093
Lead Sponsor Glimpse Diagnostics, Inc.
Collaborators: National Institute for Biomedical Imaging and Bioengineering (NIBIB), Clinical Research Strategies
Conditions
(from sponsor)		 Otalgia, Otitis Media, Otitis Media Effusion
Related terms Earache, Otitis Media, Otitis Media with Effusion
Enrollment 658 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov