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<p>Biomechanical assessment offers a novel approach for the diagnosis and treatment of corneal ectatic disorders, particularly keratoconus, a blinding eye disease characterized by biomechanical weakening. However, current early diagnosis primarily relies on morphology, such as corneal tomography, which can lead to missed cases. This study utilized a video swin transformer to characterize global spatiotemporal corneal biomechanics from deformation videos. This model captures the entire dynamic process, significantly enhancing the diagnostic accuracy for suspicious cases (AUC 0.9942; accuracy 97.37%; 95% CI: 93.0%, 99.7%). Temporal-importance analysis revealed rebound-phase energy dissipation as a key early marker. Additionally, atomic force microscopy-based nanoindentation and adhesion tests confirmed reduced apparent Young’s modulus and increased adhesion force in keratoconus. In conclusion, this study presents a novel, interpretable, in vivo, video-driven framework that supports early differential diagnosis and personalized intervention. This approach has clinical potential for precision medicine.</p>

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Global spatiotemporal biomechanics using video swin transformer: multiscale validation and clinical impact for keratoconus suspects

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月16日

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  • Xuan Chen,
  • Zuoping Tan,
  • Yimei Han,
  • Tinghui Huang,
  • Rui Yao,
  • Qinghong Gao,
  • Shuangcheng Li,
  • Jing Li,
  • Shu’an Liu,
  • Caiye Fan,
  • Guoxing Zhao,
  • Vishal Jhanji,
  • Yuanyuan Wang,
  • Yan Wang

摘要

Biomechanical assessment offers a novel approach for the diagnosis and treatment of corneal ectatic disorders, particularly keratoconus, a blinding eye disease characterized by biomechanical weakening. However, current early diagnosis primarily relies on morphology, such as corneal tomography, which can lead to missed cases. This study utilized a video swin transformer to characterize global spatiotemporal corneal biomechanics from deformation videos. This model captures the entire dynamic process, significantly enhancing the diagnostic accuracy for suspicious cases (AUC 0.9942; accuracy 97.37%; 95% CI: 93.0%, 99.7%). Temporal-importance analysis revealed rebound-phase energy dissipation as a key early marker. Additionally, atomic force microscopy-based nanoindentation and adhesion tests confirmed reduced apparent Young’s modulus and increased adhesion force in keratoconus. In conclusion, this study presents a novel, interpretable, in vivo, video-driven framework that supports early differential diagnosis and personalized intervention. This approach has clinical potential for precision medicine.