Max Robotics — Global Service Robot Directory + US Certification

About

Yung Lee is a rising surgical researcher whose work sits at the intersection of minimally invasive surgery, artificial intelligence, and evidence-based methodology. His primary research areas include robotic and laparoscopic colorectal surgery, metabolic and bariatric surgery, and the application of AI in surgical practice. Lee’s contributions are marked by rigorous systematic reviews and meta-analyses that clarify surgical outcomes for complex patient populations. Notably, his 2022 systematic review on the Senhance Surgical System in colorectal surgery (28 citations) provides critical evidence on emerging robotic platforms. He has also led an international expert consensus on AI’s role in metabolic and bariatric surgery (2025, 14 citations), outlining how machine learning and deep learning are reshaping preoperative planning and intraoperative decision-making. His updated meta-analysis comparing robotic versus laparoscopic colorectal surgery in patients with obesity (2025, 8 citations) addresses a pressing clinical challenge. Additionally, Lee’s methodological work on the fragility index of randomized trials in abdominopelvic surgery (2023) demonstrates his commitment to improving the robustness of surgical evidence. With a growing citation footprint and a focus on translating technology into practice, Lee is shaping the future of precision surgery.