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PURPOSE To compare the refractive prediction accuracy of five intraocular lens (IOL) power calculation formulas in eyes undergoing secondary sutureless intrascleral fixation of a one-piece foldable IOL and to assess biometric and anatomical factors associated with prediction error (PE). METHODS This post-hoc comparat...
Deep learning analysis of baseline OCT can predict one-year outcomes in DMO, and responder identification suggests the potential utility of this approach for prognostic assessment and risk stratification, warranting further validation before clinical implementation.
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