[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100556444":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":11,"centralContacts":29,"locations":35,"responsibleParty":51,"collaborators":53,"id":57,"slug":58,"hasResults":59,"nctId":60,"briefTitle":61,"officialTitle":62,"acronym":11,"eligibilityCriteria":63,"healthyVolunteers":59,"sex":64,"minAge":65,"maxAge":11,"enrollmentInfo":66,"targetDuration":11,"studyType":69,"phases":70,"briefSummary":72,"conditions":73,"keywords":77,"overallStatus":38,"whyStopped":11,"lastUpdateSubmitDate":80,"lastUpdatePostDateStruct":81,"startDateStruct":84,"completionDateStruct":86,"leadSponsor":88,"locationsCount":89},{"fullName":5,"class":6},"jaide","INDUSTRY",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Standard weekly symptom assessment by physicians","ACTIVE_COMPARATOR",null,[13],"Other: Standard weekly symptom intake",{"label":15,"type":16,"description":11,"interventionNames":17},"AI-assisted symptom intake","EXPERIMENTAL",[18],"Other: Generative Artificial Intelligence",[20,25],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":11},"OTHER","Generative Artificial Intelligence","Gen AI assisted symptom intake summarization",[15],{"type":21,"name":26,"description":27,"armGroupLabels":28,"otherNames":11},"Standard weekly symptom intake","Standard weekly symptom intake performed by a physician",[9],[30],{"name":31,"role":32,"phone":33,"phoneExt":11,"email":34},"Rachele Grazziotin, MD","CONTACT","(21)3207-4550","cep@inca.gov.br",[36],{"facility":37,"status":38,"city":39,"state":11,"zip":11,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"Instituto Nacional de Câncer José Alencar Gomes da Silva - INCA","RECRUITING","Rio de Janeiro","Brazil","BR",{"type":43,"coordinates":44},"Point",[45,46],-43.18223,-22.90642,{"lat":46,"lon":45},[49],{"name":50,"role":32,"phone":11,"phoneExt":11,"email":11},"Rachele Rachele Grazziotin, MD",{"type":52,"investigatorFullName":11,"investigatorTitle":11,"investigatorAffiliation":11,"oldNameTitle":11,"oldOrganization":11},"SPONSOR",[54],{"name":55,"class":56},"National Cancer Institute, Brazil","UNKNOWN","100556444","ai-as-an-aid-for-weekly-symptom-intake-in-radiotherapy-100556444",false,"NCT06525181","AI as an Aid for Weekly Symptom Intake in Radiotherapy","Evaluation of AI-Enhanced Symptom Summarization in Weekly Radiotherapy Consultations: A Comparative Study","Inclusion Criteria:\n\nAll patients undergoing radiotherapy in the pelvic region.\n\nExclusion Criteria:\n\nCases of pelvic reirradiation or operated cases.","ALL","18 Years",{"count":67,"type":68},200,"ESTIMATED","INTERVENTIONAL",[71],"NA","The study investigates the use of artificial intelligence (AI) and large language models (LLMs) to enhance the efficiency and accuracy of weekly treatment consultations (OTVs) in radiotherapy. It hypothesizes that an AI-enabled symptom summary tool will match traditional medical review methods in accuracy while saving time. The study includes patients undergoing pelvic radiotherapy and excludes those with pelvic reirradiation or who have undergone surgery. Patients will receive both standard and AI-assisted weekly consultations, with AI summaries generated using the OpenAI GPT-4 API. Blinded oncologists will compare the accuracy and quality of the AI-generated and doctor-generated summaries, while patients and doctors will rate these summaries. The primary objective is to evaluate the accuracy and time efficiency of AI-assisted symptom summaries compared to traditional methods.",[74,75,76],"Radiotherapy Side Effect","Pelvic Cancer","Patient",[78,79],"Artificial Intelligence","Patient-Reported Outcome","2024-10-08",{"date":82,"type":83},"2024-10-10","ACTUAL",{"date":85,"type":83},"2024-07-22",{"date":87,"type":68},"2024-12-15",{"name":5,"class":6},1]