[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100648188":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":19,"centralContacts":19,"locations":19,"responsibleParty":20,"collaborators":19,"id":24,"slug":25,"hasResults":26,"nctId":27,"briefTitle":28,"officialTitle":29,"acronym":19,"eligibilityCriteria":30,"healthyVolunteers":26,"sex":31,"minAge":32,"maxAge":19,"enrollmentInfo":33,"targetDuration":19,"studyType":36,"phases":37,"briefSummary":39,"conditions":40,"keywords":19,"overallStatus":42,"whyStopped":19,"lastUpdateSubmitDate":43,"lastUpdatePostDateStruct":44,"startDateStruct":47,"completionDateStruct":49,"leadSponsor":51,"locationsCount":19},{"fullName":5,"class":6},"Brigham and Women's Hospital","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"AI Chatbot Educational Intervention","EXPERIMENTAL","Participants will complete baseline questionnaires, interact with the LLM-based prostate radiation education chatbot, and then complete post-intervention questionnaires. The chatbot is used in addition to standard radiation therapy education and clinician-led discussions.",[13],"Other: AI Educational Chatbot",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":19},"AI Educational Chatbot","Participants will interact with an LLM-based educational chatbot focused on prostate cancer radiation therapy. The chatbot provides plain-language information about treatment logistics, preparation, expected follow-up, possible urinary, bowel, sexual, and hormonal side effects, symptom monitoring, and when to contact the care team. The chatbot is used as an adjunct to standard radiation therapy education and clinician-led discussions.\n\nThe chatbot is based on ChatGPT 5.2 deployed within a secure Mass General Brigham Azure environment and configured with physician-reviewed educational source materials and safety guardrails. It is designed to provide educational information only and does not diagnose, recommend treatment choices, provide individualized medical advice, or alter clinical management. Participant interactions will not be used to train, fine-tune, or update the underlying foundation model.",[9],null,{"type":21,"investigatorFullName":22,"investigatorTitle":23,"investigatorAffiliation":5,"oldNameTitle":19,"oldOrganization":19},"PRINCIPAL_INVESTIGATOR","Raymond Mak","Professor of Radiation Oncology","100648188","ai-chatbot-for-prostate-radiation-therapy-patient-education-100648188",false,"NCT07719062","AI Chatbot for Prostate Radiation Therapy Patient Education","Clinical Evaluation of Large Language Model (LLM) Methods to Support Prostate Cancer Radiation Therapy Patient Education","Inclusion Criteria:\n\n* Age 18 years or older\n* Current diagnosis of prostate cancer\n* Planning to receive definitive prostate cancer radiation therapy at Brigham and Women's Hospital Department of Radiation Oncology\n* English-speaking\n* Ability to understand and willingness to provide informed consent\n\nExclusion Criteria:\n\n* Adults unable to consent independently\n* Individuals who are not yet adults\n* Prisoners","MALE","18 Years",{"count":34,"type":35},50,"ESTIMATED","INTERVENTIONAL",[38],"NA","This study will evaluate whether an artificial intelligence chatbot can help patients better understand radiation therapy for localized prostate cancer. Participants will be adults with prostate cancer who are planning definitive radiation therapy at Brigham and Women's Hospital.\n\nAll participants will receive standard radiation therapy education and clinician-led discussions as part of routine care. In addition, participants will interact with an educational chatbot about prostate cancer radiation therapy. The chatbot is designed to provide plain-language information about treatment logistics, preparation, possible side effects, follow-up, and when to contact the care team. The chatbot will not provide diagnosis, treatment recommendations, individualized medical advice, or replace conversations with clinicians.\n\nParticipants will complete questionnaires before and after using the chatbot. The study will measure changes in patient understanding, confidence in managing symptoms, usability of the chatbot, and safety-related concerns identified during clinician review of chatbot responses.",[41],"Prostate Cancer Patients","NOT_YET_RECRUITING","2026-08-13",{"date":45,"type":46},"2026-08-17","ACTUAL",{"date":48,"type":35},"2026-08",{"date":50,"type":35},"2027-08",{"name":5,"class":6}]