Milan Shah

Papers

Total Citations

H-Index

About

Milan Shah’s research bridges robotics and surgical innovation, with a focus on autonomous systems and perioperative outcomes. His most-cited work, “Design Implementation of High-Performance Line Following Robot” (2017, 7 citations), explores the growing application of robotics across hospitals, farms, factories, and military settings, presenting a high-efficiency autonomous mobile system that follows predefined paths. This contribution highlights Shah’s interest in practical, real-world robotic solutions. In a notable shift, his 2018 study “Trends in utilization and perioperative outcomes in live donor nephrectomies” (4 citations) analyzes multi-surgical discipline data, examining how different surgical approaches affect patient outcomes. This work demonstrates his ability to apply analytical rigor to clinical settings, offering insights that can improve surgical decision-making. While his citation counts are modest, Shah’s research reflects a versatile curiosity—from engineering autonomous robots to optimizing surgical procedures. His work serves as a foundation for students and researchers exploring the intersection of robotics and healthcare, emphasizing the importance of interdisciplinary approaches in advancing both technology and medicine.