Computer-assisted camera exams to spot head and neck cancer lesions
Tests artificial intelligence on throat endoscopy videos to find and judge suspicious lesions.
Plain-language title generated from the registry record
Registry title: AI-Assisted Endoscopy for Upper Aerodigestive Tract Lesions
Key facts
- Where
- Barcelona, SpainSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults with a lesion in the upper aero-digestive tract (mouth, throat, voice box area) who have a recorded video-endoscopy and will have a biopsy, follow-up or removal of the lesion.
- Age
- Older than 18 years
- Sex
- All sexes
- Disease stage
- A lesion in the upper aero-digestive tract. Submucosal lesions are not included.
- Earlier treatment
- No earlier operations on the upper aero-digestive tract and no earlier radiotherapy of the head and neck area.
Main reasons for not taking part
- Submucosal lesion
- Earlier operation on the upper aero-digestive tract
- Earlier radiotherapy of the head and neck area
- Poor cooperation during the endoscopic examination
- CADe/CADx or CASe data logging not available
Read by machine on 12 November 2026.
Where in Spain
- Hospital Clinic de BarcelonaBarcelona, SpainContact: Claudio Sampieri, OtorhinolaryngologistNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Istituto Italiano di Tecnologia
- Trial code
- NCT07596355
- Record updated
- 19 May 2026
- Original description
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.Read full original descriptionShow less
Head&Neck Application of Novel Computer-assisted Endoscopy
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.
Inclusion: Age > 18 years; Injury originating from the upper aero-digestive tract; Recording of the video-endoscopic examination; Patient known to undergo a biopsy of the lesion or clinical follow-up for lesion with known biopsy (e.g. laryngeal papillomatosis) or suffering from Reinke's edema (in this pathology, in fact, biopsy is not necessary since the diagnosis is clinical); Or patients undergoing transoral lesion excision.
Exclusion: Patients with previous operations on the upper aero-digestive tract; Patients with previous radiotherapy of the head and neck district; Submucosal lesion; Poor compliance on endoscopic examination; Unavailability of CADe/CADx or CASe data logging note.