[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100576553":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":33,"locations":38,"responsibleParty":67,"collaborators":18,"id":70,"slug":71,"hasResults":72,"nctId":73,"briefTitle":74,"officialTitle":75,"acronym":18,"eligibilityCriteria":76,"healthyVolunteers":72,"sex":77,"minAge":78,"maxAge":79,"enrollmentInfo":80,"targetDuration":18,"studyType":83,"phases":84,"briefSummary":86,"conditions":87,"keywords":91,"overallStatus":41,"whyStopped":18,"lastUpdateSubmitDate":96,"lastUpdatePostDateStruct":97,"startDateStruct":100,"completionDateStruct":102,"leadSponsor":104,"locationsCount":105},{"fullName":5,"class":6},"Jagiellonian University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-group","EXPERIMENTAL","AI-group will include patients undergoing colonoscopy with the support of the ENDO-AID OIP-1 artificial intelligence system for colorectal polyp detection.",[13],"Device: Computer-aided detection (CADe)",{"label":15,"type":16,"description":17,"interventionNames":18},"Non-AI-group","NO_INTERVENTION","Non-AI-group will consist of patients undergoing colonoscopy without the assistance of this system.",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DEVICE","Computer-aided detection (CADe)","Endo-Aid CADe system is an AI-assisted computer-aided lesion detection application on ENDO-AID hardware. It uses a complex algorithm created via a neural network developed and taught by Olympus. With this new app, the sophisticated machine learning system can alert the endoscopist in real-time when a suspicious lesion appears on the screen. The image from the vision processor is transferred to the CADe device. The computer application recognizes the shape of the polyps and marks their place on the monitor screen.",[9],[26,30],{"name":27,"affiliation":28,"role":29},"Miroslaw Szura, Prof.","Jagiellonian University in Krakow","STUDY_CHAIR",{"name":31,"affiliation":28,"role":32},"Zofia Orzeszko, MD","PRINCIPAL_INVESTIGATOR",[34],{"name":31,"role":35,"phone":36,"phoneExt":18,"email":37},"CONTACT","+48123797145","z.orzeszko@bonifratrzy.krakow.pl",[39,56],{"facility":40,"status":41,"city":42,"state":43,"zip":44,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"MEDICINA Medical Center","RECRUITING","Krakow","Lesser Poladn","31559","Poland","PL",{"type":48,"coordinates":49},"Point",[50,51],19.93658,50.06143,{"lat":51,"lon":50},[54,55],{"name":31,"role":35,"phone":36,"phoneExt":18,"email":37},{"name":31,"role":32,"phone":18,"phoneExt":18,"email":18},{"facility":57,"status":41,"city":42,"state":58,"zip":59,"country":45,"countryCode":46,"cosmosGeoPoint":60,"geoPoint":62,"contacts":63},"Brothers Hospitallers Medical Center, Hospital of St John of god in Krakow","Lesser Polasd","31061",{"type":48,"coordinates":61},[50,51],{"lat":51,"lon":50},[64,65],{"name":31,"role":35,"phone":36,"phoneExt":18,"email":37},{"name":66,"role":32,"phone":18,"phoneExt":18,"email":18},"Tomasz Gach, PhD",{"type":32,"investigatorFullName":68,"investigatorTitle":69,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"Zofia Orzeszko","Principal Investigator","100576553","artificial-intelligence-in-colonoscopy-100576553",false,"NCT06786793","Artificial Intelligence in Colonoscopy","Artificial Intelligence in Endoscopic Diagnosis of Colorectal Polyps: A Prospective Randomized Study.","Inclusion Criteria:\n\n* Consent to participate in the study,\n* Age between 50 and 65 years,\n* Scheduled outpatient colonoscopy.\n\nExclusion Criteria:\n\n* Previous colonoscopy,\n* History of colorectal surgery,\n* Ongoing biological therapy for any indication,\n* Primary sclerosing cholangitis,\n* Familial polyposis syndrome,\n* Chronic diarrhea,\n* Ulcerative colitis,\n* Crohn's disease.","ALL","50 Years","65 Years",{"count":81,"type":82},630,"ESTIMATED","INTERVENTIONAL",[85],"NA","Colorectal cancer is the second most common malignancy in the countries of the European Union. Colonoscopy is the primary method for detecting and preventing the development of colorectal cancer is endoscopic examination. This study aims to evaluate the impact of artificial intelligence on the detection rate of polyps and early stages of colorectal cancer.",[88,89,90],"Quality Indicators, Health Care","Artificial Intelligence (AI)","Colonoscopy Diagnostic Techniques and Procedures",[92,93,89,94,95],"Quality Indicatiors","Colonoscopy","Computer-aided Detection (CADe)","Adenoma detection rate (ADR)","2025-01-15",{"date":98,"type":99},"2025-01-22","ACTUAL",{"date":101,"type":99},"2024-11-01",{"date":103,"type":82},"2025-12-31",{"name":5,"class":6},2]