Accessibility settings

This paper is in the following e-collection/theme issue:

AI Language Models in Health Care (875) Complementary and Alternative Medicine (216) Artificial Intelligence (5152) Generative Language Models Including ChatGPT (1700) Complementary and Alternative Medicine (21)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87237, first published .
Two women examining a digital display showing a tongue scan.

Application of a Large Visual Language Model on Tongue Image Description Generation and Physical Constitution Reasoning in Traditional Chinese Medicine (TongueVLM): Model Development and Validation Study

Application of a Large Visual Language Model on Tongue Image Description Generation and Physical Constitution Reasoning in Traditional Chinese Medicine (TongueVLM): Model Development and Validation Study

Authors of this article:

Chengdong Peng1, 2 Author Orcid Image ;   Jun Gao1 Author Orcid Image ;   Nuo Yang2, 3 Author Orcid Image ;   Yong Wang2, 3 Author Orcid Image ;   Renming Chen2 Author Orcid Image ;   Changwu Dong4 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Qi Z, Wu J, Li P, Xu T, Yu P. Machine Learning for Screening Bioactive Compounds in Traditional Chinese Medicine: Computational Prediction, Multi-Omics Integration, and Clinical Translation Potential. Pharmaceuticals 2026;19(10):1567 View
  2. Meng Y, Cui N, Yao J, Kong S, Liu P, Zhang Z, Liang H. TongueBench: performance of prompt-engineered large multimodal models in Traditional Chinese Medicine tongue diagnosis. Frontiers in Artificial Intelligence 2026;9 View
  3. Zhou C, Wang Y, Zhang C, Bai Y, Sun H, Liu Y, Li H. Clinically grounded evaluation of large language models for traditional Chinese medicine. Frontiers in Digital Health 2026;8 View