SOURCE-LINKED INTELLIGENCE
LingLan: An Advancing Traditional Chinese Medicine Diagnosis LLM with Multimodal Data
Though artificial intelligence (AI) increasingly transforms modern medicine, its integration into Traditional Chinese Medicine (TCM) has been relatively slow, primarily due to TCM's reliance on holistic, subjective diagnostic methods---namely Inspection, Auscultation and Olfaction, Inquiry, and Palpation(I-AOI-P)---which are difficult to align with quantitative, standardized medical systems. In this work, we introduce a Unification Framework for Multimodal Data (UFMD), which automatically processes tongue and pulse images into structured, clinically standard descriptions, integrating multi-sou
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T05:43:52.000Z
First collected: 2026-09-23T04:21:13.910Z. This is not the publication date.