Pyung Goo Cho

Papers

Total Citations

H-Index

About

Dr. Pyung Goo Cho is a pioneering neurosurgeon-researcher at the forefront of integrating artificial intelligence into neurosurgical practice. His work centers on the convergence of machine learning, computer vision, and robotic systems to enhance surgical precision, preoperative planning, and intraoperative decision-making. In his highly cited 2022 paper, "Artificial Intelligence for Neurosurgery: Current State and Future Directions" (23 citations), Cho provides a comprehensive roadmap for AI applications in the field, from automated tumor segmentation to predictive outcome modeling. This seminal review has become a foundational reference for researchers exploring AI-driven innovations in cranial and spinal surgery. Beyond this work, Cho has contributed to the development of AI-assisted navigation systems and deep learning models for real-time surgical guidance. His research bridges the gap between computational science and clinical neurosurgery, demonstrating how intelligent systems can reduce operative risks and improve patient outcomes. As a thought leader in this rapidly evolving domain, Cho continues to shape the next generation of smart surgical tools, making him an essential figure for students and researchers interested in the future of technology-enhanced medicine.