Smart Analysis of Tongue and Facial Images for Noninvasive Prediction of Glucolipid Metabolic Disorders - Takeaways - MDSpire
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Smart Analysis of Tongue and Facial Images for Noninvasive Prediction of Glucolipid Metabolic Disorders

  • By

  • Shi Liu

  • Zhanhong Chen

  • Yang Gao

  • Jialin Deng

  • Ruomeng Hu

  • Xin Tan

  • Tao Jiang

  • Jiatuo Xu

  • March 1, 2026

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  • 1

    Glucolipid metabolic disorders are a major health threat, with rising diabetes and hypertension rates in China due to lifestyle factors.

  • 2

    Traditional Chinese medicine (TCM) offers noninvasive diagnostic methods, utilizing tongue and facial inspections for disease assessment.

  • 3

    Recent advancements in artificial intelligence and machine learning have improved the accuracy of medical image diagnostics, including tongue images.

  • 4

    This study involved 615 patients to explore noninvasive diagnostic approaches for glucolipid metabolic disorders using TCM visual diagnosis.

  • 5

    High-quality image collection and analysis are crucial for effective diagnosis of glucolipid metabolic disorders through TCM methods.

Original Source(s)

Smart Analysis of Tongue and Facial Images for Noninvasive Prediction of Glucolipid Metabolic Disorders

  • by Shi Liu, Zhanhong Chen, Yang Gao, Jialin Deng, Ruomeng Hu, Xin Tan, Tao Jiang, Jiatuo Xu

  • March 1, 2026

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