Plain-English translation of NCT07326358 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are developing and testing an artificial intelligence system that can look at camera images taken during throat exams and automatically recognize normal anatomy and spot diseases like nasopharyngeal cancer or laryngeal disease. The AI system learns from existing patient images and is then tested on new patients to see if it can accurately identify problems that doctors might otherwise miss.
Standard throat camera exams sometimes miss problems because the images aren't always clear, the equipment doesn't show everything, or doctors might misidentify what they're seeing. This trial aims to create a smarter tool that helps doctors catch diseases earlier and more accurately.
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You will have a standard throat camera examination, and the video recording will be used to train and test the new AI system. Some participants will have images used only for teaching the AI, while others will be enrolled prospectively (going forward) so their exam videos test how well the finished AI system works. The study involves 500 people total across multiple medical centers.
AI-generated summary from trial data · Jun 10, 2026 · Not medical advice
China
Enrollment target
~500 participants
Started
December 2025
Primary completion
December 2026
Age range
18 Years and older
Last updated on clinicaltrials.gov in January 2026.
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Central contact
Bin Ye, MD PhD
Ruijin Hospital
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