Papers
2
Total Citations
22
H-Index
2
About
Yeganeh Madadi is a rising researcher at the intersection of artificial intelligence, robotics, and healthcare, with a primary focus on ophthalmology and rehabilitation. Her work explores how AI-enabled robots and chatbots are transforming ophthalmic care, from diagnosis and prognosis to surgical precision and personalized patient treatment. Her most-cited paper, "Applications of artificial intelligence-enabled robots and chatbots in ophthalmology: recent advances and future trends" (2024, 15 citations), provides a comprehensive review of cutting-edge technologies reshaping the field. Madadi also investigates deep transfer learning in human–robot interaction for cognitive and physical rehabilitation, as seen in her 2021 work (7 citations), demonstrating her commitment to leveraging AI for human well-being. Though early in her career, her contributions highlight a clear trajectory toward integrating intelligent systems into clinical practice, with potential to improve patient outcomes and accessibility. Her research bridges engineering and medicine, offering valuable insights for students and researchers interested in the future of AI-driven healthcare.
Research Focus
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Top Papers
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