Big data in ophthalmology: comparative databases and research applications
Big data platforms are transforming ophthalmology research, from uncovering systemic-ocular relationships to enabling artificial intelligence applications. Researchers can select platforms based on the availability of imaging, systemic data, or genomic information to better address specific research questions. Doing so can enhance precision medicine, address care disparities, and drive innovation in disease pathophysiology discovery, detection, and management.
Authors
- Mohamed M. Khodeiry (ORCID: https://orcid.org/0000-0003-0109-5331)
- Abdelrahman M. Elhusseiny (ORCID: https://orcid.org/0000-0003-1412-375X)
- Richard K. Lee (ORCID: https://orcid.org/0000-0002-9813-7536)
- Mohammad Ayoubi
- Mohamed S. Sayed (ORCID: https://orcid.org/0000-0001-9293-4713)
Institutions
- Cleveland Clinic (US)
- University of Louisville (US)
- University of Miami (US)
- Cleveland Eye Clinic (US)
- University of Arkansas for Medical Sciences (US)
Publication Details
- Journal
- Current Opinion in Ophthalmology
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1097/icu.0000000000001190
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00