The rapid growth of ophthalmic imaging is generating increasingly large and complex datasets that can support clinical research, disease characterization, and technology development. Advanced imaging modalities combined with big-data analytics are creating new opportunities to identify patterns, biomarkers, and associations that may not be readily recognized through conventional approaches.
This session will explore the role of cloud computing and large-scale data infrastructure in managing, processing, and analyzing ophthalmic datasets. Discussions will address fundus imaging, OCT, OCT angiography, visual fields, multimodal imaging, and integration of imaging data with clinical records for research and clinical applications.
The session will also examine data security, interoperability, scalability, privacy, and governance challenges associated with cloud-based ophthalmic systems. Experts will discuss how robust digital infrastructure can support collaborative research, AI development, remote diagnostics, and data-driven innovation in vision care.