Labial-gland artificial intelligence model screening for autoimmune thyroiditis among patients with connective tissue disease - Takeaways - MDSpire
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Artificial Intelligence Model for Screening Autoimmune Thyroiditis in Connective Tissue Disease Patients Using Labial Gland Pathology Images

  • By

  • Jia-yun Wu

  • Yuening Kang

  • Xiao-min Li

  • Wen-qi Xia

  • Ru-yi Liao

  • Zhi-yang He

  • Yu-ling Chen

  • Ya Wen

  • Fan-xuan Meng

  • Jing-yu Zhang

  • Zheng Yang

  • Yong Ren

  • Qing Lv

  • June 23, 2026

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  • 1

    This study developed a deep learning model to predict autoimmune thyroiditis risk in connective tissue disease patients using labial gland pathology images.

  • 2

    A total of 121 connective tissue disease patients were included, divided into positive and negative groups based on thyroid autoantibody results.

  • 3

    The EfficientNet-B5 model was employed for feature extraction, combined with multi-instance and ensemble learning techniques for prediction.

  • 4

    The model demonstrated strong predictive performance with an AUC of 0.829 in both internal and external validation sets.

  • 5

    The study highlights the potential of AI in identifying key pathological features related to autoimmune thyroiditis in connective tissue disease patients.

Original Source(s)

Labial-gland artificial intelligence model screening for autoimmune thyroiditis among patients with connective tissue disease

  • by Jia-yun Wu, Yuening Kang, Xiao-min Li, Wen-qi Xia, Ru-yi Liao, Zhi-yang He, Yu-ling Chen, Ya Wen, Fan-xuan Meng, Jing-yu Zhang, Zheng Yang, Yong Ren, Qing Lv

  • June 23, 2026

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