TongueVLM Achieves Multimodal Tongue Diagnosis Accuracy
Researchers from Hefei University of Technology and collaborators developed TongueVLM, a multimodal large model for traditional Chinese medicine tongue-image diagnosis, published in JMIR Medical Informatics (2026). The LLaMA-based 7B-parameter model uses CLIP-ViT visual encoding and modal fusion, evaluated on three test datasets (3,000 samples each) and achieved 79.8%, 78.6%, and 60.7% accuracy, outperforming baseline VLMs.
Scoring Rationale
Strong peer-reviewed evaluation and clear empirical gains drive the score, but niche TCM focus limits wider impact.
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Sources
- Read OriginalApplication of a Large Visual Language Model on Tongue Image Description Generation and Physical Constitution Reasoning in Traditional Chinese Medicine (TongueVLM): Model Development and Validation Stmedinform.jmir.org
