Chan Yun Kim
Papers
5
Total Citations
162
H-Index
4
About
Chan Yun Kim is a researcher whose work spans two notably distinct domains: perioperative anesthesiology and, more recently, embodied artificial intelligence. Kim's most impactful contributions lie in understanding intraocular pressure (IOP) dynamics during minimally invasive surgical procedures, particularly robot-assisted laparoscopic radical prostatectomy (RALRP) performed in the steep Trendelenburg position — a posture known to elevate IOP and pose potential risks to patients with glaucoma or ocular hypertension. With over 60 citations each, Kim's landmark studies demonstrated that propofol anesthesia raises IOP less than sevoflurane during laparoscopic procedures, and that deep neuromuscular blockade combined with low intra-abdominal pressure can meaningfully improve surgical conditions while mitigating IOP elevation. A further highly regarded study examined dexmedetomidine's protective role against IOP increases, offering clinicians a pharmacological strategy to enhance patient safety. Collectively, these studies have shaped anesthetic practice in robotic urology. More recently, Kim has pivoted toward robotics and AI, contributing to E2Map, a novel framework enabling language model–guided robot navigation in dynamic environments — signaling a bold interdisciplinary evolution in research focus that promises to attract growing scholarly attention.
Research Focus
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Top Papers
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