[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"radiography\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:radiography":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,43,96],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":31,"lastUpdatePostDateStruct":32,"startDateStruct":35,"completionDateStruct":37,"leadSponsor":39,"locationsCount":42},"100644831","large-language-models-for-dental-radiology-report-generation-from-structured-textual-data-100644831",false,"NCT07676318","Large Language Models for Dental Radiology Report Generation From Structured Textual Data","Evaluation of Large Language Models for Transforming Structured Dental Radiology Data Into Narrative Radiology Reports","DENT-LLM","Inclusion Criteria:\n\n* Dental radiology records based on dental X-ray examination performed on the basis of a written referral from a dentist or physician\n* Dental X-ray examinations performed for screening, diagnostic, or treatment-planning purposes\n* Records from patients with permanent dentition after completion of exfoliation\n\nExclusion Criteria:\n\n* Records from patients with mixed dentition before completion of exfoliation\n* Records with incomplete, ambiguous, or internally inconsistent structured dental radiology data preventing reliable report generation\n* Records with missing information required for evaluation of the generated report\n* Duplicate records from the same radiographic examination\n* Records in which anonymization or pseudonymization cannot be ensured","ALL","18 Years",{"count":20,"type":21},100,"ESTIMATED","OBSERVATIONAL","The purpose of this observational methodological study is to evaluate whether large language models can transform structured dental radiology data into clear narrative radiology reports. Large language models are computer programs that can generate text from information provided to them. In this study, the input will consist of organized dental radiology findings, such as chart-style or diagram-based information about teeth and surrounding structures.\n\nDental radiology reports are used by dentists and other health care providers to understand imaging findings and support clinical documentation. Preparing narrative reports may be time-consuming, and the wording of reports may vary between clinicians. This study will examine whether language-model-assisted report generation can produce reports that are complete, accurate, understandable, and clinically useful.\n\nThe study will compare reports generated with support from large language models with traditionally prepared reports. Researchers will also assess how the wording of the prompt and selected model parameters influence report quality. In addition, the study will analyze errors and safety risks in generated reports and evaluate whether such a system could be practical in a dental radiology workflow. The language model will not make treatment decisions, and generated reports will be used for research evaluation only.",[25,26,27,28,29],"Radiography","Oral Health","Large Language Model","Natural Language Processing (NLP)","Dentistry","NOT_YET_RECRUITING","2026-06-24",{"date":33,"type":34},"2026-06-30","ACTUAL",{"date":36,"type":21},"2026-06-29",{"date":38,"type":21},"2026-07-26",{"name":40,"class":41},"Hospital of the Ministry of Interior, Kielce, Poland","OTHER",1,{"id":44,"slug":45,"hasResults":11,"nctId":46,"briefTitle":47,"officialTitle":48,"acronym":49,"eligibilityCriteria":50,"healthyVolunteers":11,"sex":17,"minAge":51,"maxAge":52,"enrollmentInfo":53,"targetDuration":4,"studyType":55,"phases":56,"briefSummary":58,"conditions":59,"keywords":72,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":87,"lastUpdatePostDateStruct":88,"startDateStruct":90,"completionDateStruct":92,"leadSponsor":94,"locationsCount":42},"100634199","time-to-healing-in-displaced-pediatric-diaphyseal-forearm-fractures-treated-with-bioabsorbable-compared-to-titanium-intramedullary-nails-100634199","NCT07536581","Time to Healing in Displaced Pediatric Diaphyseal Forearm Fractures Treated With Bioabsorbable Compared to Titanium Intramedullary Nails","Time to Healing in Displaced Pediatric Diaphyseal Forearm Fractures Treated With Bioabsorbable Compared to Titanium Intramedullary Nails: A Single-Center, Multi-Blinded, Randomized Parallel-Group, Non-Inferiority Study","FOREST","Inclusion Criteria:\n\n* Diagnosis of a traumatic diaphyseal forearm fracture of the radius, ulna, or both\n* Operative fixation required\n* Fractures must be complete (not unicortical or greenstick) AND displaced \\>50% of bone width (after attempted closed reduction) AND\u002FOR angulated \\>10° in any plane (after attempted closed reduction)\n* Informed consent obtained\n\nExclusion Criteria:\n\n* Conditions where internal fixation is contraindicated (e.g. active or potential infection)\n* Grossly open fractures (Gustilo Anderson grade \\> 2)\n* Fracture occurred more than 2 weeks prior\n* Fractures that are well managed conservatively (undisplaced or minimally displaced)\n* Previous ipsilateral forearm fracture (risk of closed medullary canal)\n* Fractures unsuited for intramedullary nailing (e.g. multifragmentary, metaphyseal or epiphyseal)\n* Concurrent ipsilateral wrist or elbow involvement (e.g. Monteggia or Galeazzi variants)\n* Unable to participate in follow-up\n* Existing bone pathology (e.g. tumor, osteogenesis imperfecta, degenerative disease)\n* Participation in any other medical device or medicinal product study within the previous month that could influence in opinion of the PI the results of the present study\n\nIntraoperative exclusion criteria:\n\n* Fractures suitable for closed reduction and casting (see 6.3.9)\n* Indication for treatment 1 (BIN) only\n* Indication for treatment 2 (ESIN) only\n* Intraoperative decision to use implants other than the devices under investigation","3 Years","13 Years",{"count":54,"type":21},60,"INTERVENTIONAL",[57],"NA","This study looks at children with forearm fractures that need surgery. The standard treatment uses titanium nails, which usually need to be removed in a second operation later. This study compares titanium nails with bioabsorbable nails, which gradually dissolve in the body and may help some children avoid another operation.\n\nThe study will compare how quickly the fractures heal on X-ray, and also look at complications, recovery, function, and the family's experience. Children who need surgery will be randomly assigned to one of the two treatments so the comparison is fair.\n\nHypothesis: The researchers expect that fractures treated with bioabsorbable nails will heal almost as quickly as fractures treated with titanium nails, while reducing the need for later implant removal surgery.",[60,61,62,63,64,65,66,67,68,69,70,25,71],"Forearm Injuries","Radius Fractures","Ulna Fractures","Fractures, Bone","Child","Adolescent","Fracture Fixation, Intramedullary","Internal Fixation","Orthopedic Operations","Polymers","Fracture Healing","Randomized Controlled Trial (RCT)",[71,73,74,75,76,77,78,79,80,81,82,83,84,85,86],"pediatric forearm fracture","forearm shaft fracture in children","elastic stable intramedullary nailingelastic stable intramedullary nailing","ESIN","titanium elastic nail","bioabsorbable intramedullary nail","TEN","BIN","radiographic healing","radiographic union","modified Radiographic Union Score","mRUS","non-inferiority trial","randomized trial","2026-04-17",{"date":89,"type":34},"2026-04-22",{"date":91,"type":21},"2026-04",{"date":93,"type":21},"2031-12",{"name":95,"class":41},"Children's Fractures Interest Group, Denmark",{"id":97,"slug":98,"hasResults":11,"nctId":99,"briefTitle":100,"officialTitle":101,"acronym":4,"eligibilityCriteria":102,"healthyVolunteers":103,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":104,"targetDuration":4,"studyType":55,"phases":106,"briefSummary":107,"conditions":108,"keywords":109,"overallStatus":112,"whyStopped":4,"lastUpdateSubmitDate":113,"lastUpdatePostDateStruct":114,"startDateStruct":116,"completionDateStruct":118,"leadSponsor":120,"locationsCount":42},"100550117","can-a-digital-education-program-in-radiographic-imaging-technique-for-dental-professionals-improve-image-quality-100550117","NCT06442904","Can a Digital Education Program in Radiographic Imaging Technique for Dental Professionals Improve Image Quality?","A Digital Education Program in Oral and Maxillofacial Radiology: Effect on Image Quality Evaluated in a Cluster Randomized Controlled Trial","Inclusion Criteria:\n\n• Dental professionals performing radiographic examinations employed in general dentistry in the County Council of Västerbotten, Sweden\n\nExclusion Criteria:\n\n• Dental professionals not performing radiographic examinations",true,{"count":105,"type":21},90,[57],"The goal of this clinical trial is to learn if a digital education program designed for dental professionals can lead to radiographic examinations of better quality. The main questions it aims to answer are:\n\nDoes the digital education program lead to more radiographic examinations of good quality? Does the digital education program lead to better theoretical and practical understanding regarding image quality among dental professionals?\n\nResearchers will compare answers from a theoretical test and image quality in radiographic examinations between participants with respectively without access to the digital education program.\n\nParticipants will:\n\n* have access to the digital education program for three months\n* after three months all study participants are invited to answer a theoretical test",[25,29],[110,111],"digital education","oral and maxillofacial radiology","RECRUITING","2024-06-04",{"date":115,"type":34},"2024-06-05",{"date":117,"type":21},"2024-09",{"date":119,"type":21},"2025-01",{"name":121,"class":41},"Umeå University"]