AI-guided personalized predictions on myopia progression and interventions - Takeaways - MDSpire

AI-guided personalized predictions on myopia progression and interventions

  • By

  • Sian Liu

  • Yuxing Lu

  • Xiaoman Li

  • Xiaoniao Chen

  • Zhuo Sun

  • Gen Li

  • Kai Wang

  • Wei Wu

  • Hui Xu

  • Hongyi Li

  • Changxi Hu

  • Zixing Zou

  • Miao Zhang

  • Xuan Zhang

  • Wenyang Lu

  • Yun Yin

  • Jia Qu

  • Kang Zhang

  • Jie Chen

  • January 12, 2026

  • 0 min

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  • 1

    Myopia is a significant global health issue, with high prevalence rates in Asia, particularly affecting 80% of high school graduates in China.

  • 2

    High myopia poses serious risks, including retinal detachment and macular degeneration, emphasizing the need for early prediction and intervention.

  • 3

    Current myopia control strategies have limitations such as high costs and potential adverse effects, necessitating improved predictive models.

  • 4

    The Myopia Progression Predictive Model (MPPM) utilizes Transformer architecture to predict myopia progression and treatment effects accurately.

  • 5

    The MPPM consists of two modules: the Natural Progression Module for untreated myopia and the Intervention Progression Module for specific interventions.

Original Source(s)

AI-guided personalized predictions on myopia progression and interventions

  • by Sian Liu, Yuxing Lu, Xiaoman Li, Xiaoniao Chen, Zhuo Sun, Gen Li, Kai Wang, Wei Wu, Hui Xu, Hongyi Li, Changxi Hu, Zixing Zou, Miao Zhang, Xuan Zhang, Wenyang Lu, Yun Yin, Jia Qu, Kang Zhang, Jie Chen

  • January 12, 2026

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