[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100621650":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":18,"centralContacts":18,"locations":18,"responsibleParty":25,"collaborators":18,"id":27,"slug":28,"hasResults":29,"nctId":30,"briefTitle":31,"officialTitle":32,"acronym":33,"eligibilityCriteria":34,"healthyVolunteers":29,"sex":35,"minAge":36,"maxAge":37,"enrollmentInfo":38,"targetDuration":18,"studyType":41,"phases":42,"briefSummary":44,"conditions":45,"keywords":47,"overallStatus":51,"whyStopped":18,"lastUpdateSubmitDate":52,"lastUpdatePostDateStruct":53,"startDateStruct":56,"completionDateStruct":58,"leadSponsor":60,"locationsCount":18},{"fullName":5,"class":6},"Peking University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Intervention","EXPERIMENTAL","Participants in this arm will receive the \"Diet-Medicine Companion\" (Shi Yi Ban Lv) intervention. This involves using an AI-powered WeChat mini-program for daily dietary logging and receiving real-time feedback. Participants also receive proactive monitoring and support from family doctors (case administrators), including telephone reminders if they are inactive for more than 7 days and targeted health guidance based on their data.",[13],"Device: AI-driven Dietary Management and Human-in-the-loop Support",{"label":15,"type":16,"description":17,"interventionNames":18},"Control","NO_INTERVENTION","Participants in this arm will receive standard community care (usual care) for type 2 diabetes management provided by their local community health centers. They will complete the same schedule of assessments (HbA1c tests and questionnaires) at baseline, 3 months, and 6 months but will not receive the AI mini-program intervention or the specific case administrator support provided to the experimental group.",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DEVICE","AI-driven Dietary Management and Human-in-the-loop Support","The intervention consists of a 6-month AI-enabled blended care program using the \"Diet-Medicine Companion\" (Shi Yi Ban Lv) WeChat mini-program.\n\nPatient Component (AI Support): Participants are required to upload dietary photos and blood glucose records via the mini-program at least once daily. The system, powered by a Large Language Model (LLM), provides immediate, personalized dietary feedback and answers diabetes-related queries via an AI chatbot.\n\nProvider Component (Human Support): Case administrators (family doctors) monitor patient data through a provider dashboard. The protocol involves \"human-in-the-loop\" support, where doctors provide telephone reminders if participants are inactive (no uploads) for more than 7 days. Doctors also intervene to provide medical guidance or health education based on specific system alerts or patient needs.",[9],{"type":26,"investigatorFullName":18,"investigatorTitle":18,"investigatorAffiliation":18,"oldNameTitle":18,"oldOrganization":18},"SPONSOR","100621650","blended-resources-for-integrated-diabetes-guidance-and-empowerment-100621650",false,"NCT07373379","Blended Resources for Integrated Diabetes Guidance and Empowerment","Effectiveness and Implementation of an AI-Driven Blended Care Model for Type 2 Diabetes Management in Primary Care: A Single-Blind, Cluster Randomized Controlled Trial in Zhangjiagang, China","BRIDGE","Inclusion Criteria:\n\n* Aged 18 to 70 years (inclusive).\n* Glycosylated hemoglobin (HbA1c) level ≥ 6.5%.\n* Resided in the local area for at least 6 months.\n* Capable of using a smartphone to take photos and use the WeChat mini-program.\n* Willing and able to provide informed consent.\n\nExclusion Criteria:\n\n* Diagnosed with Type 1 diabetes, gestational diabetes, or secondary diabetes.\n* Presence of severe diabetic complications.\n* Received radiotherapy or chemotherapy within the past 6 months.\n* Diagnosed with severe intellectual disabilities, Alzheimer's disease, or other serious psychiatric disorders.\n* Current participation in other research projects that may affect the results of this study.\n* Presence of other severe disabilities or medical conditions deemed unsuitable for participation by the investigators.","ALL","18 Years","70 Years",{"count":39,"type":40},1200,"ESTIMATED","INTERVENTIONAL",[43],"NA","The goal of this cluster randomized clinical trial is to learn if an AI-enabled blended care model (the BRIDGE program) works to treat type 2 diabetes in adults. It will also learn about the cost-effectiveness and implementation feasibility of this model in primary care settings. The main questions it aims to answer are:\n\nDoes the AI-driven intervention lower HbA1c levels (blood sugar) compared to standard care?\n\nDoes this model improve participants' quality of life, self-management behaviors, and digital literacy?\n\nResearchers will compare the \"Diet-Medicine Companion\" (Shi Yi Ban Lv) mini-program combined with family doctor support to standard community care to see if the blended care model works to manage diabetes.\n\nParticipants will:\n\nUse the \"Diet-Medicine Companion\" mini-program to upload diet photos daily and receive AI feedback for 6 months\n\nReceive periodic guidance and phone reminders from case administrators (family doctors)\n\nComplete questionnaires and blood tests (HbA1c) at baseline, 3 months, and 6 months",[46],"Type 2 Diabetes Mellitus",[46,48,49,50],"digital health","AI","blended care","NOT_YET_RECRUITING","2026-02-19",{"date":54,"type":55},"2026-02-23","ACTUAL",{"date":57,"type":40},"2026-03-01",{"date":59,"type":40},"2026-10-30",{"name":5,"class":6}]