Nita Valikodath
Papers
3
Total Citations
21
H-Index
3
About
Nita Valikodath is a pioneering researcher at the intersection of ophthalmology, robotics, and artificial intelligence, whose work is redefining point-of-care eye imaging. Her primary research focuses on developing and validating robotic optical coherence tomography (OCT) systems for use in non-traditional clinical settings, particularly emergency departments. Valikodath’s major contributions include the first pilot study demonstrating that emergency physicians can effectively use a robotic OCT system to diagnose retinal pathology—a breakthrough that could dramatically reduce the rate of missed posterior segment disease in acute care. Her work on RobOCTNet, a deep learning model integrated with a robotically aligned OCT system, achieved high diagnostic accuracy for referable pathology, showcasing the power of combining robotics with AI for autonomous screening. With over 20 citations across her most-cited papers, her research has rapidly gained traction. Notably, her 2025 study on a mobile robotic OCT system addresses a critical barrier to adoption—portability—enabling imaging in diverse clinical environments without requiring patients to maintain the restrictive postures of traditional devices. Valikodath’s innovative approach promises to democratize access to advanced ophthalmic diagnostics, making her a rising leader in translational biomedical engineering.
Research Focus
Key Achievements
Top Papers
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