AI-Assisted Endoscopy for Upper Aerodigestive Tract Lesions
NCT07596355 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 283
Last updated 2026-05-19
Summary
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.
Conditions
- 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
Sponsors & Collaborators
-
Hospital Clinic of Barcelona
collaborator OTHER -
CRO "Centro Clinical Trials" IRCCS Ospedale Policlinico San Martino
collaborator UNKNOWN -
Universitaire Ziekenhuizen KU Leuven
collaborator OTHER -
Università degli Studi 'G. d'Annunzio' Chieti e Pescara
collaborator OTHER -
Universita degli Studi di Genova
collaborator OTHER -
Scuola Superiore Sant'Anna di Pisa
collaborator OTHER -
Istituto Italiano di Tecnologia
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-05-31
- Primary Completion
- 2027-12-31
- Completion
- 2028-02-29
Countries
- Belgium
- Italy
- Spain
Study Locations
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