[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100651997":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":10,"locations":12,"responsibleParty":33,"collaborators":10,"id":35,"slug":36,"hasResults":37,"nctId":38,"briefTitle":39,"officialTitle":39,"acronym":10,"eligibilityCriteria":40,"healthyVolunteers":37,"sex":41,"minAge":42,"maxAge":43,"enrollmentInfo":44,"targetDuration":47,"studyType":48,"phases":10,"briefSummary":49,"conditions":50,"keywords":10,"overallStatus":53,"whyStopped":10,"lastUpdateSubmitDate":54,"lastUpdatePostDateStruct":55,"startDateStruct":58,"completionDateStruct":60,"leadSponsor":62,"locationsCount":63},{"fullName":5,"class":6},"Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Postoperative breast cancer patients receiving LLM-based exercise prescription evaluation",null,"Postoperative breast cancer patients at Sun Yat-sen Memorial Hospital will have clinical and physical data collected. Each patient receives an exercise prescription generated by a fine-tuned large language model (LLM)-based decision support system and provides feedback on its feasibility.",[13],{"facility":14,"status":10,"city":15,"state":16,"zip":17,"country":18,"countryCode":19,"cosmosGeoPoint":20,"geoPoint":25,"contacts":26},"Sun Yat-sen Memorial Hospital, Sun Yat-sen University","Guangzhou","Guangdong","510000","China","CN",{"type":21,"coordinates":22},"Point",[23,24],113.25,23.11667,{"lat":24,"lon":23},[27,32],{"name":28,"role":29,"phone":30,"phoneExt":10,"email":31},"jianli Zhao","CONTACT","15920589334","zhaojianli1988@126.com",{"name":10,"role":29,"phone":10,"phoneExt":10,"email":31},{"type":34,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100651997","research-on-the-development-and-validation-of-personalized-exercise-prescription-system-for-breast-cancer-patients-based-on-large-language-models-100651997",false,"NCT07767565","Research on the Development and Validation of Personalized Exercise Prescription System for Breast Cancer Patients Based on Large Language Models","Inclusion Criteria:\n\n* Adult patients aged 18-75 years with early-stage breast cancer who have undergone surgical treatment, such as mastectomy or breast-conserving surgery.\n* The patients had clear clinical diagnosis and complete electronic medical record information (including demographic information, tumor stage and classification, treatment history, physical performance evaluation data, etc.).\n\nExclusion Criteria:\n\n* Presence of severe postoperative complications or comorbidities (e.g., uncontrolled cardiac or pulmonary disease) that may interfere with participation in rehabilitation or pose a safety risk.","ALL","18 Years","75 Years",{"count":45,"type":46},40,"ESTIMATED","6 Months","OBSERVATIONAL","The goal of this observational study is to develop and evaluate a large language model (LLM)-based decision support system for exercise prescription in breast cancer patients, aiming to provide personalized decision-making support for postoperative breast cancer rehabilitation.\n\nThe main questions it aims to answer are:\n\nHow accurate, personalized, and safe are the exercise prescriptions generated by the fine-tuned LLM? How does the model's performance compare with other mainstream or non-fine-tuned models across different stages and subtypes of breast cancer? Participants are postoperative breast cancer rehabilitation patients treated at Sun Yat-sen Memorial Hospital of Sun Yat-sen University. They will have demographic, tumor, treatment, and physical fitness data collected; receive personalized exercise prescriptions automatically generated by the LLM-based system; and provide subjective evaluations on the feasibility and executability of the prescriptions.",[51,52],"Breast Cancer","Exercise and Recovery","NOT_YET_RECRUITING","2026-08-11",{"date":56,"type":57},"2026-08-17","ACTUAL",{"date":59,"type":46},"2026-09-15",{"date":61,"type":46},"2027-12-31",{"name":5,"class":6},1]