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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic Performance of Large Language Models in Multimodal Analysis of Radiolucent Jaw Lesions

K T Kim, Bong-Chul Kim
8 citations
International Dental Journal
Radiomics and Machine Learning in Medical Imaging
10.88
article

Diagnostic Performance of Large Language Models in Multimodal Analysis of Radiolucent Jaw Lesions

K T Kim, Bong-Chul Kim
article en
8 citations

Abstract

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.

International Dental JournalVol. 75(6)
Daejeon University (KR), Wonkwang University (KR)
Openalex Percentile: Top 1%
Radiomics and Machine Learning in Medical Imaging
10.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.