ArticleNPJ digital medicine2026
Global spatiotemporal biomechanics using video swin transformer: multiscale validation and clinical impact for keratoconus suspects.
Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
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.
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