[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100652265":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":18,"centralContacts":27,"locations":18,"responsibleParty":33,"collaborators":35,"id":39,"slug":40,"hasResults":41,"nctId":42,"briefTitle":43,"officialTitle":44,"acronym":45,"eligibilityCriteria":46,"healthyVolunteers":41,"sex":47,"minAge":48,"maxAge":18,"enrollmentInfo":49,"targetDuration":18,"studyType":52,"phases":53,"briefSummary":55,"conditions":56,"keywords":59,"overallStatus":64,"whyStopped":18,"lastUpdateSubmitDate":65,"lastUpdatePostDateStruct":66,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":18},{"fullName":5,"class":6},"Hong Kong Metropolitan University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Intervention Group","EXPERIMENTAL","Participants will install and use the AIMS application.",[13],"Behavioral: AIMS platform",{"label":15,"type":16,"description":17,"interventionNames":18},"Control Group","NO_INTERVENTION","Usual care",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"BEHAVIORAL","AIMS platform","The AIMS intervention is a digital self-management platform that provides personalized symptom monitoring, tailored self-management support, and interactive guidance.",[9],[26],"Artificial Intelligence-based Multidimensional Symptom Management (AIMS)",[28],{"name":29,"role":30,"phone":31,"phoneExt":18,"email":32},"Xianliang Liu, MD, PhD","CONTACT","(852) 3970 8790","dxliu@hkmu.edu.hk",{"type":34,"investigatorFullName":18,"investigatorTitle":18,"investigatorAffiliation":18,"oldNameTitle":18,"oldOrganization":18},"SPONSOR",[36],{"name":37,"class":38},"The Global Chinese Breast Cancer Organization Alliance","UNKNOWN","100652265","ai-based-symptom-management-for-post-treatment-breast-cancer-survivors-100652265",false,"NCT07770243","AI-Based Symptom Management for Post-Treatment Breast Cancer Survivors","Artificial Intelligence-Based Multidimensional Symptom Management (AIMS) Invention to Reduce Symptom Burden and Improve Quality of Life Among Post-Treatment Breast Cancer Survivors: A Pilot Randomized Controlled Trial (AIMS-BC Trial)","AIMS-BC","Inclusion Criteria:\n\n* Female breast cancer survivors aged 18 years or older\n* Experiencing at least one symptom in the past month (e.g., fatigue, pain and insomnia, a score of ≥2 on the 0-10 Numeric Rating Scale (0 = \"no fatigue\", 10 = \"worst fatigue\")\n* Completed primary treatment (surgery, chemotherapy, or radiotherapy) within the last 24 months\n* Able to read Chinese and use a smartphone or tablet\n\nExclusion Criteria:\n\n* Unstable medical condition\n* Severe psychiatric disorders or cognitive impairment\n* Participation in another interventional study","FEMALE","18 Years",{"count":50,"type":51},36,"ESTIMATED","INTERVENTIONAL",[54],"NA","This pilot randomized controlled trial will test the feasibility and acceptability of an Artificial Intelligence-based Multidimensional Symptom Management (AIMS) intervention for post-treatment breast cancer survivors. Thirty-six participants will be randomly assigned (1:1) to receive either the AIMS intervention or usual care. Outcomes include feasibility (recruitment and retention), adherence, acceptability, symptom burden, psychological distress, quality of life, and safety of the AIMS intervention.",[57,58],"Breast Cancer","Cancer Survivorship",[60,61,62,63],"artificial intelligence","symptom management","breast cancer survivors","digital health","NOT_YET_RECRUITING","2026-08-14",{"date":67,"type":68},"2026-08-18","ACTUAL",{"date":70,"type":51},"2026-08-10",{"date":72,"type":51},"2027-03-31",{"name":5,"class":6}]