Yiming Lai

Sun Yat-sen Memorial Hospital, Jiangxi University of Science and Technology

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Total Citations

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About

Yiming Lai’s research bridges two distinct fields: urological surgery and semiconductor manufacturing automation. In urology, Lai is best known for a landmark systematic review and meta-analysis comparing transurethral versus suprapubic catheter drainage after robot-assisted radical prostatectomy (RARP). This work, cited 7 times, directly addressed a long-standing clinical controversy, providing evidence-based guidance to optimize patient recovery and reduce complications following robotic prostate surgery. By synthesizing data from multiple databases, Lai’s analysis helped clarify best practices for postoperative urine drainage, a critical aspect of surgical outcomes. In parallel, Lai has made notable contributions to semiconductor manufacturing through the development of a “Central Array Method” for automatic optical inspection (AOI) systems. This 2024 paper, already garnering 3 citations, introduces an innovative algorithm to precisely locate chips on wafer maps using industrial cameras and robot arms. The method enhances quality control efficiency in chip fabrication, demonstrating Lai’s versatility in applying computational and engineering solutions to industrial challenges. This dual expertise—spanning clinical surgery and high-tech manufacturing—highlights Lai’s ability to tackle complex, interdisciplinary problems. With impactful work in both evidence-based medicine and industrial automation, Yiming Lai is a researcher whose contributions improve patient care and advance precision manufacturing.