Gabriela Lahaie Luna

Papers

Total Citations

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About

Gabriela Lahaie Luna is a pioneering researcher at the intersection of ophthalmology, robotics, and artificial intelligence, dedicated to transforming how eye care is delivered and how surgical skills are assessed. Her work focuses on two critical frontiers: expanding access to specialized eye exams and objectifying the evaluation of cataract surgery. In a landmark 2020 study, she validated the use of a stereoscopic robotized teleophthalmic drone slit lamp, a novel system that allows for remote, high-fidelity eye examinations, a contribution with profound implications for telemedicine in underserved areas. More recently, her 2024 research introduces an ensemble of 2D–3D convolutional neural networks to automate the performance evaluation of cataract surgery. By addressing the inherent subjectivity and labor-intensiveness of traditional video-based expert review, this AI-driven approach promises to make surgical training more efficient, consistent, and scalable. While her citation counts are currently modest, reflecting the novelty of her work, her contributions are foundational, directly tackling core bottlenecks in ophthalmic practice and education. Lahaie Luna’s research is a compelling blueprint for a future where robotic telemedicine and intelligent assessment systems work in concert to elevate the standard of eye care worldwide.