天津中医药大学学报2026，Vol.45Issue(6)：717-723,7.DOI:10.11656/j.issn.1673-9043.2026.06.12
基于舌象的糖尿病相关预测模型系统评价
Tongue image-based prediction models for diabetes:A systematic review
摘要
Abstract
[Objective]To systematically review the research advances in diabetes-related predictive models based on tongue images,summarize their characteristics,technical approaches,and performance,evaluate the quality of existing literature,and provide a reference for future research.[Methods]We systematically searched relevant literature in Chinese National Knowledge Infrastructure(CNKI),Wanfang Data,China Biology Medicine disc(CBM),VIP Database,PubMed,Embase,Web of Science,and Cochrane Library.Two researchers independently screened the literature based on predefined inclusion/exclusion criteria and extracted data.The risk of bias and applicability were assessed using the PROBAST and PROBAST-AI tools.[Results]Seventeen articles were included.The research areas covered diabetes diagnosis,prediction of complication risks,and identification of Traditional Chinese Medicine syndrome patterns.Most models integrated tongue images with clinical indicators to construct multimodal models.Deep learning and ensemble learning were the mainstream techniques,with several models demonstrating excellent discriminatory ability.However,the overall methodological quality was moderate.All studies only conducted internal validation,severely lacking independent external validation and calibration assessment.The vast majority of studies relied on single-center data and lacked standardized procedures,casting doubt on the generalizability of the models.[Conclusion]Research on diabetes predictive models based on tongue images is developing rapidly.While current model performance appears promising,their clinical translation is limited.Future efforts should focus on rigorous study design,standardized information collection,and conducting prospective external validation to promote the clinical application of this technology.关键词
糖尿病/舌诊客观化/舌象/人工智能/机器学习/预测模型/系统评价Key words
diabetes mellitus/tongue diagnosis objective quantification/tongue image/artificial intelligence/machine learning/prediction model/systematic review分类
医药卫生引用本文复制引用
李晴晴,刘宝瑜,孙玉梅,任颖,庞晓丽,王红云..基于舌象的糖尿病相关预测模型系统评价[J].天津中医药大学学报,2026,45(6):717-723,7.基金项目
国家自然科学基金项目(82374394). （82374394）
