Radiography

3

Review clinical trials related to Radiography. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
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Status: Not yet recruiting

Large Language Models for Dental Radiology Report Generation From Structured Textual Data

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. Dental 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. The 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.

Participants needed: 100
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Hospital of the Ministry of Interior, Kielce, PolandUpdated: Jun 30, 2026Locations: 1
Eligibility criteria

Dental radiology records based on dental X-ray examination performed on the basi... [+2]

Records from patients with mixed dentition before completion of exfoliation [+4]

Status: Not yet recruiting

Time to Healing in Displaced Pediatric Diaphyseal Forearm Fractures Treated With Bioabsorbable Compared to Titanium Intramedullary Nails

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. The 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. Hypothesis: 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.

Participants needed: 60
Trial details
Age: 3-13Biological sex: AllType: InterventionalSponsor: Children's Fractures Interest Group, DenmarkUpdated: Apr 22, 2026Locations: 1
Eligibility criteria

Diagnosis of a traumatic diaphyseal forearm fracture of the radius, ulna, or bot... [+3]

Conditions where internal fixation is contraindicated (e.g. active or potential... [+13]

Status: Recruiting

Can a Digital Education Program in Radiographic Imaging Technique for Dental Professionals Improve Image Quality?

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: Does 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? Researchers will compare answers from a theoretical test and image quality in radiographic examinations between participants with respectively without access to the digital education program. Participants will: * have access to the digital education program for three months * after three months all study participants are invited to answer a theoretical test

Participants needed: 90
Trial details
Age: 18+Biological sex: AllType: InterventionalSponsor: Umeå UniversityUpdated: Jun 5, 2024Locations: 1
Eligibility criteria

Not listed