Konstantinos D. Stergiou

Papers

Total Citations

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About

Konstantinos D. Stergiou is a leading researcher at the intersection of artificial intelligence, medical robotics, and human–machine interaction. His work focuses on developing intelligent systems that enhance surgical precision and healthcare delivery, particularly through the integration of AI-driven haptic feedback and advanced medical imaging. His most-cited paper, “A Medical Image Visualization Technique Assisted with AI-Based Haptic Feedback for Robotic Surgery and Healthcare” (2023, 51 citations), addresses a critical lesson from the COVID-19 pandemic: the need for remote, safe, and efficient healthcare solutions that protect medical staff from infectious diseases. Stergiou’s research demonstrates how AI can transform outdated healthcare infrastructures into modern, contactless systems, enabling surgeons to operate with greater accuracy and reduced risk. His contributions are shaping the future of robotic surgery, making procedures more intuitive and accessible. With a growing citation impact, Stergiou is recognized for bridging the gap between computational intelligence and real-world clinical challenges, offering practical innovations that respond to global health crises and pave the way for resilient, technology-driven healthcare.