Research & AI in Ophthalmology
Transforming Eye Care with Technology and Vision
Dr. Alejandro Espaillat is at the forefront of integrating artificial intelligence into ophthalmology — using machine learning tools to enhance diagnostic accuracy, improve access to care, and support clinical decision-making in real time. His research bridges the gap between innovation and clinical impact, especially in the early detection of vision-threatening diseases.

Focus Area
Focus Area
AI-Driven Cataract Grading
Development and validation of AI tools like Prisma AIB-LOCS1 for automated lens opacity classification.
Tele-ophthalmology & Screening Algorithms
Implementing AI-powered tools for remote screening of diabetic retinopathy, glaucoma, and macular degeneration in underserved populations.
Clinical Decision Support Systems (CDSS)
Using deep learning models to assist ophthalmologists with treatment recommendations and patient triage.
Workflow Optimization
Applying AI to streamline imaging analysis, documentation, and surgical planning in high-volume clinics.
Expert Ophthalmology Care You Can Trust
Over 20 Years of Experience in Treating Cataracts, Glaucoma, and More
Impact & Goals
AI is a powerful force multiplier in vision care. By embedding intelligence into routine workflows, Dr. Espaillat aims to:
- Detect disease earlier
- Reduce preventable blindness
- Improve efficiency in surgical and outpatient settings
- Expand care to remote and underserved areas
Collaborate or Learn More
Dr. Espaillat welcomes collaboration with:
- Academic institutions
- Health tech companies
- Ophthalmology practices
- Nonprofits and public health organizations