Diagnostic Performance of Large Language Models in Multimodal Analysis of Radiolucent Jaw Lesions
LLMs have potential as diagnostic support tools for OMFS, especially in settings with limited specialist access. Presenting clinical cases in structured formats using curated imaging data enhances LLM accuracy and underscores HITL integration. Although current LLMs show promising results, further validation using larger datasets and hybrid AI systems are necessary for broader contextualised, clinical adoption.
Authors
- K T Kim
- Bong-Chul Kim (ORCID: https://orcid.org/0000-0003-2824-0439)
Institutions
- Daejeon University (KR)
- Wonkwang University (KR)
Publication Details
- Journal
- International Dental Journal
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1016/j.identj.2025.103910
- Citations
- 8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 10.88