Artificial Intelligence in Otolaryngology—From Demonstrating Capability to Delivering Trustworthy Clinical Impact
Da‐Qing Li · 2026
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Description
Da-Qing Li opens a special issue on artificial intelligence in ear, nose, and throat medicine with a warning wrapped in welcome. Fifteen contributions span language models answering clinical questions in Chinese, Korean, and Spanish, voice analysis, imaging, pathology computing, prediction tools, surgical video review, and automatic note-taking. Together they show the field moving from party tricks toward the clinic.
But fluency is not rigor: generated text can read smoothly while citing wrongly or missing what a patient needs. Performance swings across languages make the equity point concrete. The editorial argues that human oversight, disclosure, and accountability are the price of turning capability into trustworthy care.
Catalog record
| CREATOR | Da‐Qing Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 6 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |