AI-Assisted Endoscopy for Upper Aerodigestive Tract Lesions

Starting soon

Conditions studied: Upper Aerodigestive Tract Neoplasms, Upper AerodigestiveTract Cancer, Upper Aero-digestive Tract (UADT) Neoplasm, Squamous Cell Carcinoma, Leukoplakia, Head and Neck Cancer (H&N), Vocal Cord Disease, Vocal Fold Polyp, Vocal Fold Nodules

In brief

This is a prospective observational clinical study designed to evaluate the performance of artificial intelligence (AI) algorithms applied to upper aerodigestive tract (UADT) video-endoscopy. The study assesses three main tasks: lesion detection (localization), classification (benign vs malignant), and segmentation of tumor margins. AI algorithms will be applied to endoscopic video data acquired during routine clinical practice without influencing clinical decision-making. The system will process images in real time and store data for subsequent analysis. AI outputs will be compared with physician assessment and reference standard histopathology to evaluate diagnostic performance.

Key facts

Study ID
NCT07596355
Run by
Istituto Italiano di Tecnologia
People needed
283
Starts
2026-05-01
Expected to finish
2028-02-01
Last updated by the study team
2026-05-19

Who can join

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

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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