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
Inclusion Criteria4
- Age ≥ 18 years;
- Underwent standard electronic nasopharyngolaryngoscopy;
- Patients who underwent biopsy sampling have a clear pathological diagnosis;
- Signed a written informed consent form.
Exclusion Criteria2
- Image quality is substandard with severe motion artifacts;
- Lesion images are unclear and incomplete.
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)
View Full Details on ClinicalTrials.gov
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NCT07326358
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