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AI System for Anatomic Recognition & Lesion Detection in Nasopharyngolaryngoscopy: A Prospective Study
Sponsor: Ruijin Hospital
Summary
An artificial intelligence-assisted system is trained and validated by collecting nasopharyngolaryngoscopy images from patients.
Official title: Development and Validation of an Artificial Intelligence System for Anatomic Site Recognition and Lesion Detection Based on Electronic Nasopharyngolaryngoscopic Images: A Prospective Multicenter Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
500
Start Date
2025-12-12
Completion Date
2027-03-31
Last Updated
2026-01-08
Healthy Volunteers
No
Interventions
Diagnostic
The deep learning model is trained using the training dataset and tested with the internal validation set.
Diagnostic
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