[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"segmentation\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:segmentation":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,47],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":33,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100558090","locally-optimised-contouring-with-ai-technology-for-radiotherapy-100558090",false,"NCT06546592","Locally Optimised Contouring With AI Technology for Radiotherapy","LOCATOR - Locally Optimised Contouring With AI Technology for Radiotherapy","LOCATOR","Inclusion Criteria:\n\n* 18 years and older who are planned for primary breast malignancy\n* ECOG performance 0-2\n* Ability to understand and willingness to sign a written informed consent document\n* The target volume must be able to be objectively reviewed by current published national or international clinical guidelines\n\nExclusion Criteria:\n\n* Patients under 18 years of age\n* Patients unable to understand consent documents",true,"ALL","18 Years",{"count":21,"type":22},444,"ESTIMATED","INTERVENTIONAL",[25],"NA","LOCATOR is a multicentre phase II randomised clinical trial that is looking at the process of contouring in radiation treatment for breast cancer patients. This study looks at whether contouring aided by artificial intelligence (AI) is comparable in quality to that of contouring done completely manually by a radiation oncologist. We are also looking at whether AI assisted contouring saves radiation oncologists time when compared to fully manual contouring.\n\nLOCATOR uses the LOCATOR software which is an in-house software developed locally and trained on local data.",[28,29,30,31,32],"Contouring","Segmentation","Radiation Therapy","Artificial Intelligence","Deep Learning",[28,29,30,31,32],"RECRUITING","2026-01-27",{"date":37,"type":38},"2026-01-29","ACTUAL",{"date":40,"type":38},"2025-02-11",{"date":42,"type":22},"2030-04-30",{"name":44,"class":45},"Royal North Shore Hospital","OTHER",3,{"id":48,"slug":49,"hasResults":11,"nctId":50,"briefTitle":51,"officialTitle":51,"acronym":4,"eligibilityCriteria":52,"healthyVolunteers":17,"sex":18,"minAge":4,"maxAge":4,"enrollmentInfo":53,"targetDuration":4,"studyType":55,"phases":4,"briefSummary":56,"conditions":57,"keywords":4,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":58,"lastUpdatePostDateStruct":59,"startDateStruct":61,"completionDateStruct":63,"leadSponsor":65,"locationsCount":67},"100565784","intelligent-segmentation-algorithm-of-ultrasonic-image-100565784","NCT06646679","Intelligent Segmentation Algorithm of Ultrasonic Image","Inclusion Criteria:\n\n* None.\n\nExclusion Criteria:\n\n* None.",{"count":54,"type":22},5000,"OBSERVATIONAL","This project aims to enhance the performance of ultrasonic image analysis by optimizing and refining neural network algorithms, while also collecting and constructing extensive datasets relevant to ultrasonic imagery. The algorithm will be trained and evaluated in a data-driven manner, with test results facilitating accurate segmentation of regional block images and identification of characteristic ultrasonic anatomy. This approach will significantly advance the study and development of ultrasonic technology.",[29],"2024-11-02",{"date":60,"type":38},"2024-11-05",{"date":62,"type":38},"2024-10-14",{"date":64,"type":22},"2026-11-14",{"name":66,"class":45},"Tongji Hospital",1]