OtoCompanion is an AI‑powered diagnostic tool that analyzes otoscopic images to detect middle‑ear fluid, enabling doctors to quickly differentiate healthy from infected ears at the point of care. By reducing diagnostic uncertainty and unnecessary referrals, it helps curb overprescribing of antibiotics in primary‑care and emergency‑room settings.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians often rely on visual inspection of otoscopic images to diagnose middle‑ear infections, which can be subjective and lead to diagnostic uncertainty, unnecessary referrals, and overprescribing of antibiotics.
Solution
OtoCompanion is an AI‑powered diagnostic tool that analyzes otoscopic images to detect the presence of fluid in the middle ear. By providing an automated, objective assessment at the point of care, it enables doctors to quickly differentiate healthy from infected ears. The system delivers results within seconds, supporting more confident clinical decisions in primary‑care, urgent‑care, and emergency‑room settings. Reducing diagnostic ambiguity helps lower unnecessary antibiotic prescriptions and referrals, ultimately decreasing healthcare costs associated with ear infections.
Target Audience
Primary users are primary‑care physicians, pediatricians, and emergency‑room clinicians who perform otoscopic examinations and need rapid, reliable diagnostic support.
Features
- Deep‑learning model trained on a large dataset of otoscopic images to identify middle‑ear fluid with high accuracy
- Real‑time analysis that returns a diagnostic result in seconds on a standard computer or tablet
- Integration workflow that allows clinicians to upload images directly from otoscopes or mobile devices
- Automated confidence scores and visual overlays to highlight areas of detected fluid
- Secure, HIPAA‑compliant data handling and storage for patient images and results