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.
Lorena Ulla, Jonathan D. Oakley, Riccardo Fasana et al.· Eye· 0 citations
Current evidence on the definition, epidemiology, risk factors, imaging features, and functional consequences of MA in nAMD are summarized and standardized definitions, multimodal imaging, and predictive models are guided to guide personalized management and develop therapies targeting atrophy.
Xue-Nan Zhuang, Chiara Olivieri, G. Neri et al.· Survey of ophthalmology· 0 citations
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