Predicting cardiovascular events in hemodialysis patients based on the fusion of physicochemical indicators and tongue images: a prospective and multicenter study
Tongue image features are potent, non-invasive predictors of CVEs in hemodialysis patients, offering performance superior to conventional clinical variables. This AI-driven approach validates the TCM theory and presents a promising supplementary tool for enhancing risk stratification in nephrology care.
Authors
- Qingxiang Wang (ORCID: https://orcid.org/0000-0002-8159-7739)
- Kun Zou (ORCID: https://orcid.org/0000-0001-7693-0608)
- Kun Bao (ORCID: https://orcid.org/0000-0003-3405-4958)
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Shuang Cheng
- Fan Xiao
- Lijuan Dong
- Wu Zhou
- Daixin Zhao
- Xiaohua He
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Guangdong Provincial Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2026-03-04
- DOI
- https://doi.org/10.3389/fphys.2026.1782190
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangdong Provincial Hospital of Traditional Chinese Medicine
- Guangzhou University of Chinese Medicine
- Guangzhou University