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

NCT07326358 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2026-01-08

No results posted yet for this study

Summary

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

Conditions

  • Nasopharyngeal Neoplasms
  • Laryngeal Disease

Interventions

OTHER

Diagnostic

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

OTHER

Diagnostic

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

Sponsors & Collaborators

  • Ruijin Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-12
Primary Completion
2026-12-31
Completion
2027-03-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07326358 on ClinicalTrials.gov