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

Recruiting now

Conditions studied: Nasopharyngeal Neoplasms, Laryngeal Disease

In brief

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

Key facts

Study ID

NCT07326358

Run by

Ruijin Hospital

People needed

500

Starts

2025-12-12

Expected to finish

2027-03-31

Last updated by the study team

2026-01-08

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age ≥ 18 years;
• Underwent standard electronic nasopharyngolaryngoscopy;
• Patients who underwent biopsy sampling have a clear pathological diagnosis;
• Signed a written informed consent form.

You may not qualify if…

• Image quality is substandard with severe motion artifacts;
• Lesion images are unclear and incomplete.

Where it is running

• Ruijin Hospital, Shanghai Jiao Tong University School of Medicine — Shanghai, China (enrolling)

Full record on ClinicalTrials.gov

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