MedTrace Logo

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

NCT07676318 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2026-06-30

No results posted yet for this study

Summary

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.

Conditions

  • Radiography
  • Oral Health
  • Large Language Model
  • Natural Language Processing (NLP)
  • Dentistry

Interventions

OTHER

Large language model-assisted radiology report generation

Structured dental radiology data will be processed using a large language model to generate narrative dental radiology reports. The model will transform predefined structured findings into report text for research evaluation. The model will not independently interpret radiographic images, make clinical diagnoses, recommend treatment, or replace professional review. Generated reports will be assessed for completeness, factual consistency with the source data, clarity, terminology, errors, safety, and potential workflow usefulness.

Sponsors & Collaborators

  • Hospital of the Ministry of Interior, Kielce, Poland

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-29
Primary Completion
2026-07-26
Completion
2026-07-26

Countries

  • Poland

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07676318 on ClinicalTrials.gov