RecruitingNCT07326358

AI System for Anatomic Recognition & Lesion Detection in Nasopharyngolaryngoscopy: A Prospective Study

Development and Validation of an Artificial Intelligence System for Anatomic Site Recognition and Lesion Detection Based on Electronic Nasopharyngolaryngoscopic Images: A Prospective Multicenter Study


Sponsor

Ruijin Hospital

Enrollment

500 participants

Start Date

Dec 12, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

An artificial intelligence-assisted system is trained and validated by collecting nasopharyngolaryngoscopy images from patients.


Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is evaluating an AI-powered system that assists doctors during a nasal and throat scope procedure (nasopharyngolaryngoscopy) by automatically identifying normal anatomy and detecting abnormal lesions in real time, potentially improving the accuracy of diagnosis. **You may be eligible if...** - You are 18 years or older - You are undergoing a standard nasal and throat endoscopy (scope through the nose to examine the throat and voice box) - If a tissue sample was taken, your pathology results are available - You have signed informed consent **You may NOT be eligible if...** - The images from your procedure are of too poor quality (excessive motion blur or artifacts) - The lesion images captured are unclear or incomplete Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERDiagnostic

The deep learning model is trained using the training dataset and tested with the internal validation set.

OTHERDiagnostic

The prospective dataset is used for the comparative testing of the model and physicians.


Locations(1)

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

Shanghai, China

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NCT07326358


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