Nida Fareghzadeh
Papers
1
Total Citations
2
H-Index
1
About
Nida Fareghzadeh is a pioneering researcher in the field of robot-assisted ophthalmic surgery (RAOS), with a primary focus on enhancing intraoperative precision and safety. Her most notable contribution is the development of "IC-RCM," an intraoperative real-time detection system that identifies 5D remote center of motion (RCM) misalignment during robotic eye procedures using a single-camera setup. This breakthrough addresses a critical challenge in RAOS—ensuring reliable tool-tissue interaction within the delicate ocular environment—by enabling immediate correction of alignment errors, thereby reducing the risk of tissue damage. Her work, published in 2024 and already garnering 2 citations, represents a significant step toward fully autonomous, error-proof robotic surgeries. Fareghzadeh’s research sits at the intersection of computer vision, robotics, and ophthalmic biomechanics, offering practical solutions for real-time monitoring in high-stakes surgical settings. By tackling the nuanced problem of RCM misalignment, she has laid the groundwork for safer, more reliable robotic interventions in ophthalmology, making her a rising voice in surgical robotics and a key contributor to the future of precision medicine.
Research Focus
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Top Papers
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