Sign inGet started
Paper · arXiv

OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis

Dental image analysis plays a pivotal role in supporting accurate diagnosis and treatment planning in oral healthcare. Although recent advances have produced dental AI models for specific tasks and individual imaging modalities, their isolated designs limit practical use in real-world clinical workflows. In this paper, we present OralAgent, the first dental-specialized AI agent that unifies multimodal reasoning, tool-based decision-making, and knowledge-grounded retrieval within an end-to-end automated framework. It integrates 22 visual analysis tools and 368 widely-used classical dental textbooks, enabling autonomous reasoning, planning, tool use, knowledge retrieval, and multi-step work...

AuthorsJing Hao, Siyuan Dai, Yongxin Zhang et al.
Primary categorycs.CL
Published9 April 2026
Last updated at source9 April 2026
cs.CLcs.CVcs.MA
Embed this entry
<iframe src="https://silytics.si/embed/item/a60ec73a-f460-4fa1-bcb5-149f36d9eb46" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.