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AI-Assisted Endoscopy for Upper Aerodigestive Tract Lesions
Sponsor: Istituto Italiano di Tecnologia
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.
Official title: Head&Neck Application of Novel Computer-assisted Endoscopy
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
283
Start Date
2026-05
Completion Date
2028-02
Last Updated
2026-05-19
Healthy Volunteers
No
Conditions
Locations (3)
UZ Leuven
Leuven, Flemish Brabant, Belgium
IRCCS Ospedale Policlinico San Martino
Genova, GE, Italy
Hospital Clínic de Barcelona
Barcelona, Barcelona, Spain