[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100535428":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":21,"locations":27,"responsibleParty":42,"collaborators":20,"id":46,"slug":47,"hasResults":48,"nctId":49,"briefTitle":50,"officialTitle":51,"acronym":52,"eligibilityCriteria":53,"healthyVolunteers":48,"sex":54,"minAge":55,"maxAge":20,"enrollmentInfo":56,"targetDuration":20,"studyType":59,"phases":60,"briefSummary":62,"conditions":63,"keywords":20,"overallStatus":30,"whyStopped":20,"lastUpdateSubmitDate":65,"lastUpdatePostDateStruct":66,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":74},{"fullName":5,"class":6},"Chinese University of Hong Kong","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Intervention arm","EXPERIMENTAL","CADe system will be used during withdrawal phase of colonscopy",[13],"Device: ENDO-AID CADe",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"DEVICE","ENDO-AID CADe","ENDO-AID CADe will be used during the withdrawal process of the colonscopy",[9],null,[22],{"name":23,"role":24,"phone":25,"phoneExt":20,"email":26},"Felix Sia","CONTACT","26370428","felixsia@cuhk.edu.hk",[28],{"facility":29,"status":30,"city":31,"state":20,"zip":20,"country":31,"countryCode":32,"cosmosGeoPoint":33,"geoPoint":38,"contacts":39},"Prince of Wales Hospital","RECRUITING","Hong Kong","HK",{"type":34,"coordinates":35},"Point",[36,37],114.17469,22.27832,{"lat":37,"lon":36},[40],{"name":41,"role":24,"phone":20,"phoneExt":20,"email":20},"Louis Lau",{"type":43,"investigatorFullName":44,"investigatorTitle":45,"investigatorAffiliation":5,"oldNameTitle":20,"oldOrganization":20},"PRINCIPAL_INVESTIGATOR","Louis Ho Shing Lau","Assistant Professor","100535428","longterm-effectiveness-of-artificial-intelligence-assisted-colonoscopy-on-adenoma-recurrence-100535428",false,"NCT06251700","Longterm Effectiveness of Artificial Intelligence-assisted Colonoscopy on Adenoma Recurrence","Longterm Effectiveness of Artificial Intelligence-assisted Colonoscopy on Adenoma Recurrence - a Prospective Longitudinal Follow-up of Randomized Controlled Trial","ENDOAID-PRO","Inclusion Criteria:\n\nSubjects are eligible if:\n\n(i) They underwent randomization to receive colonoscopy with\u002Fwithout CADe in ENDOAID-TRAIN study \\[NCT04838951\\]; (ii) They are fit and willing to undergo surveillance colonoscopy at year 3; (iii) Written informed consent obtained.\n\nExclusion Criteria:\n\nSubjects will be excluded from the study if they have any of the followings:\n\n(i) Incomplete colonoscopy during index procedure; (ii) Known residual colorectal neoplasia not removed (except hyperplastic polyps); (iii) Underwent unscheduled interval colonoscopy before year 3; (iv) Contraindications to surveillance colonoscopy at year 3; (v) Advanced comorbid (American Society of Anesthesiologists grade 4 or above); (vi) History of CRC, hereditary polyposis syndrome or inflammatory bowel disease; (vii) History of colectomy at any time point.","ALL","18 Years",{"count":57,"type":58},775,"ESTIMATED","INTERVENTIONAL",[61],"NA","We hypothesize that AI-assisted colonoscopy can reduce post-colonoscopy neoplasia incidence after 3 years, over standard colonoscopy. Moreover, this protective effect may allow surveillance intervals to be lengthened, by modifying long-term outcome of high-risk subgroup.",[64],"Screening Colonscopy","2024-10-27",{"date":67,"type":68},"2024-10-29","ACTUAL",{"date":70,"type":68},"2024-01-24",{"date":72,"type":58},"2027-04-30",{"name":5,"class":6},1]