Papers
1
Total Citations
7
H-Index
1
About
Xin Lai is a pioneering researcher in medical robotics and healthcare optimization, with a particular focus on the strategic deployment of advanced vascular robotic systems. Their landmark 2025 study, "Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy," has already garnered 7 citations, demonstrating immediate impact in this emerging field. Lai's work addresses the critical challenge of optimizing the acquisition, utilization, and maintenance of ABLVR vascular robots—a complex problem requiring sophisticated algorithmic solutions. By integrating genetic algorithms with greedy and simulated annealing approaches, Lai has developed a comprehensive framework that enables healthcare institutions to make data-driven decisions about robotic resource allocation, ultimately improving patient outcomes in vascular treatments. This research bridges the gap between computational optimization and practical clinical needs, offering hospitals a systematic methodology for managing expensive robotic assets. Lai's contributions are particularly significant given the growing adoption of robotic-assisted surgery and the pressing need for efficient resource management in modern healthcare systems. Their work continues to influence both operational research and medical robotics fields.
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