AI tool to recognize anatomy and find lesions during nasopharyngolaryngoscopy
Development and Validation of an Artificial Intelligence System for Anatomic Site Recognition and Lesion Detection Based on Electronic Nasopharyngolaryngoscopic Images: A Prospective Multicenter Study
This project will try an AI system that reads nasopharyngolaryngoscopy images to help doctors spot anatomy and lesions in adults having these exams.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 500 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Ruijin Hospital Academic / other |
| Locations | 1 site (Shanghai) |
| Trial ID | NCT07326358 on ClinicalTrials.gov |
What this trial studies
The study will collect standard electronic nasopharyngolaryngoscopy images and basic patient information from adult patients at participating centers to train and validate a deep learning model. Retrospective image and metadata collection, including biopsy-confirmed pathology when available, will be used for model development. After training and internal validation, the model's clinical performance will be tested on an independent, prospectively collected cohort. The aim is to improve anatomic recognition and lesion detection during nasopharyngolaryngoscopy.
Who should consider this trial
Good fit: Ideal candidates are adults (age 18 or older) who underwent standard electronic nasopharyngolaryngoscopy at the enrolling site and can provide informed consent, with clear images available for use.
Not a fit: Patients whose images are of poor quality, have severe motion artifacts, or contain incomplete lesion views are unlikely to benefit from the AI model.
Why it matters
Potential benefit: If successful, the AI could reduce missed or misidentified areas on examination and help clinicians detect lesions earlier, potentially improving diagnosis and treatment planning.
How similar studies have performed: Deep learning approaches have shown promise in other endoscopic and laryngoscopic image-detection tasks, but AI specifically applied to nasopharyngolaryngoscopy remains relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years; * Underwent standard electronic nasopharyngolaryngoscopy; * Patients who underwent biopsy sampling have a clear pathological diagnosis; * Signed a written informed consent form. Exclusion Criteria: * Image quality is substandard with severe motion artifacts; * Lesion images are unclear and incomplete.
Where this trial is running
Shanghai
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine — Shanghai, China (Recruiting)
Study contacts
- Study coordinator: Bin Ye, MD PhD
- Email: aydyebin@126.com
- Phone: +8615216616895
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.