[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"vocal-fold-nodules\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:vocal-fold-nodules":33},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100639254","ai-assisted-endoscopy-for-upper-aerodigestive-tract-lesions-100639254",false,"NCT07596355","AI-Assisted Endoscopy for Upper Aerodigestive Tract Lesions","Head&Neck Application of Novel Computer-assisted Endoscopy","H&NANCE","Inclusion Criteria:\n\n* Age \\> 18 years\n* Injury originating from the upper aero-digestive tract\n* Recording of the video-endoscopic examination\n* 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)\n* Or patients undergoing transoral lesion excision\n\nExclusion Criteria:\n\n* Submucosal lesion\n* Patients with previous operations on the upper aero-digestive tract\n* Patients with previous radiotherapy of the head and neck district\n* Poor compliance on endoscopic examination\n* Unavailability of CADe\u002FCADx or CASe data logging note","ALL","18 Years",{"count":20,"type":21},283,"ESTIMATED","OBSERVATIONAL","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.\n\nAI 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.",[25,26,27,28,29,30,31,32,33],"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","NOT_YET_RECRUITING","2026-05-12",{"date":37,"type":38},"2026-05-19","ACTUAL",{"date":40,"type":21},"2026-05",{"date":42,"type":21},"2028-02",{"name":44,"class":45},"Istituto Italiano di Tecnologia","OTHER",3]