Artificial Intelligence at the Service of the ENT: A New Perspective on Tympanic Membrane Perforations.
AI-based analysis accurately identified eardrum perforations in clinical ear imaging, potentially streamlining ENT diagnosis.
This study presents an AI-based approach for diagnosing tympanic membrane perforations in the ENT setting. While the application of AI to ENT imaging is innovative for that subspecialty, the clinical scope is outside the core watchlist areas.
What the study was
- Population
- Patients with tympanic membrane perforations (ENT)
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Journal of Imaging Informatics in Medicine
Why it surfaced
AI/ML in imaging watchlist match, but ENT tympanic membrane application is peripheral to core watchlist areas (oncology, hematology, cardiometabolic). Abstract truncated limiting full classification.
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