AI tool to recognize anatomy and find lesions during nasopharyngolaryngoscopy

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• 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

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.