[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100557880":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":19,"centralContacts":24,"locations":30,"responsibleParty":45,"collaborators":18,"id":48,"slug":49,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":50,"sex":56,"minAge":57,"maxAge":58,"enrollmentInfo":59,"targetDuration":18,"studyType":62,"phases":63,"briefSummary":65,"conditions":66,"keywords":69,"overallStatus":71,"whyStopped":18,"lastUpdateSubmitDate":72,"lastUpdatePostDateStruct":73,"startDateStruct":76,"completionDateStruct":77,"leadSponsor":78,"locationsCount":79},{"fullName":5,"class":6},"Centre hospitalier de l'Université de Montréal (CHUM)","OTHER",[8],{"label":9,"type":6,"description":10,"interventionNames":11},"All participants","The endoscopist will make an optical diagnosis (OD) prediction for all small polyps (up to 10 mm) in white light (WL). Then, the endoscopist will make another OD prediction using image enhanced endoscopy (IEE) modes. After that, CADx will be activated in the IEE mode and a CADx prediction will be documented. Finally, after seeing the CADx prediction, the endoscopist will make a final prediction, which can agree or disagree with the autonomous CADx one. Polyps will be resected and sent to a pathology lab, where a pathologic diagnosis (blinded to the endoscopist's predictions) will be rendered.",[12],"Other: CADx (AI) system",[14],{"type":6,"name":15,"description":16,"armGroupLabels":17,"otherNames":18},"CADx (AI) system","The CADx system will be used to predict the histopathology of the polyp detected.",[9],null,[20],{"name":21,"affiliation":22,"role":23},"Daniel von Renteln, MD","University of Montreal Medical Center (CHUM)","PRINCIPAL_INVESTIGATOR",[25],{"name":21,"role":26,"phone":27,"phoneExt":28,"email":29},"CONTACT","514 890-8000","30912","daniel.von.renteln.med@ssss.gouv.qc.ca",[31],{"facility":32,"status":18,"city":33,"state":34,"zip":18,"country":35,"countryCode":36,"cosmosGeoPoint":37,"geoPoint":42,"contacts":43},"Ghislaine Ahoua","Montreal","Quebec","Canada","CA",{"type":38,"coordinates":39},"Point",[40,41],-73.58781,45.50884,{"lat":41,"lon":40},[44],{"name":21,"role":26,"phone":18,"phoneExt":18,"email":18},{"type":23,"investigatorFullName":46,"investigatorTitle":47,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"Daniel Von Renteln","Principal Investigator","100557880","autonomous-artificial-intelligence-versus-ai-assisted-human-optical-diagnosis-100557880",false,"NCT06543862","Autonomous Artificial Intelligence Versus AI Assisted Human Optical Diagnosis","Autonomous Artificial Intelligence Versus AI Assisted Human Optical Diagnosis of Colorectal Polyps","CADx-Prosp","Inclusion Criteria:\n\n* Indication for full colonoscopy.\n\nExclusion Criteria:\n\n* Known inflammatory bowel disease\n* Active colitis\n* coagulopathy\n* familial polyposis syndrome\n* poor general health, defined as an American Society of Anesthesiologists class \\>3\n* emergency colonoscopy","ALL","45 Years","80 Years",{"count":60,"type":61},540,"ESTIMATED","INTERVENTIONAL",[64],"NA","Computer-aided image-enhanced endoscopy can predict the nature of colorectal polyps with over 90% accuracy. This technology uses artificial intelligence (AI) to analyze video recordings of polyps, learning to make diagnoses in real-time. This means that doctors can get immediate predictions about small polyps during the procedure, reducing the need for separate pathology exams and saving costs, ultimately improving patient care.\n\nHuman and AI interactions are complex and a framework to reap synergistic effects CADx systems when used by humans to harness optimal performance needs to be established. AI solutions in medicine are usually developed to be used as assistive devices, however, then they rely on humans to correct AI errors. Optical polyp diagnosis is a complex task. Non experts usually achieve diagnostic accuracy in 70-80%. CADx systems have a similar diagnostic accuracy when used autonomously. Clinical evaluation of CADx systems showed that CADx assisted OD performs equally to the operator performance when using non CADx assisted OD. To harness a benefit of clinical CADx implementation we would have to find a way that synergies between human and CADx come into play to eliminate cases in which CADx assisted and\u002F or human OD results in low diagnostic accuracy and also addresses the problem of serrated polyp recognition.",[67,68],"Colonic Polyp","Artificial Intelligence",[70],"optical diagnosis, artificial intelligence","NOT_YET_RECRUITING","2024-11-13",{"date":74,"type":75},"2024-11-15","ACTUAL",{"date":74,"type":61},{"date":74,"type":61},{"name":5,"class":6},1]