In Kyu Kwon
Yonsei University · 医学
研究室紹介
Professor In Kyu Kwon's research lab specializes in minimally invasive surgical oncology, with a focus on improving outcomes in gastrointestinal cancers through advanced imaging, artificial intelligence, and surgical innovation. The lab investigates the application of fluorescent lymphography, AI-driven endoscopic image analysis, and long-term results of laparoscopic surgery in gastric cancer. It also explores metabolic mechanisms following bariatric surgery, particularly glucose homeostasis and intestinal glucose excretion. The lab integrates clinical research with translational science to enhance diagnostic accuracy and surgical decision-making.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15This study's findings suggest that fluorescent lymphography may be useful intraoperatively for identifying and retrieving all necessary lymph nodes for a complete and thorough lymphadenectomy.
In early gastric cancer (EGC), tumor invasion depth is an important factor for determining the treatment method. However, as endoscopic ultrasonography has limitations when measuring the exact depth in a clinical setting as endoscopists often depend on gross findings and personal experience. The present study aimed to develop a model optimized for EGC detection and depth prediction, and we investigated factors affecting artificial intelligence (AI) diagnosis. We employed a visual geometry group(
Importance: The long-term safety of laparoscopic distal gastrectomy for locally advanced gastric cancer (AGC) remains uncertain given the lack of 5-year follow-up results. Objective: To compare the 5-year follow-up results in patients with clinically AGC enrolled in the Korean Laparoendoscopic Gastrointestinal Surgery Study (KLASS)-02 randomized clinical trial who underwent laparoscopic or open distal gastrectomy. Design, Setting, and Participants: The KLASS-02, a multicenter randomized clinical
MSI gastric cancer was associated with good prognosis but there was heterogeneity in the recent studies. Changed epidemiology and effects of chemotherapy are potential causes of heterogeneity. Establishing a consensus for defining MSI in gastric cancer should be preferred for future studies.
Objective The mechanisms underlying type 2 diabetes resolution after Roux-en-Y gastric bypass (RYGB) are unclear. We suspected that glucose excretion may occur in the small bowel based on observations in humans. The aim of this study was to evaluate the mechanisms underlying serum glucose excretion in the small intestine and its contribution to glucose homeostasis after bariatric surgery. Design 2-Deoxy-2-[ 18 F]-fluoro-D-glucose (FDG) was measured in RYGB-operated or sham-operated obese diabeti
Department of Surgery, Keimyung University School of Medicine, Daegu, Korea *Correspondence address: Seung Wan Ryu, MD, PhD, Department of Surgery, Keimyung University School of Medicine, 56 Dalseong-Ro, Jung-Gu, Daegu 41931, Republic of Korea. email: [email protected] Received May 18, 2016; Revised June 18, 2016; Accepted June 20, 2016. Disclosure Information: Nothing to disclose. Support: This research was supported by the Keimyung University Research Grant of 2015 and 2016.
The Poisson–Boltzmann equation (PBE) arises in various disciplines including biophysics, electrochemistry, and colloid chemistry, leading to the need for efficient and accurate simulations of PBE. However, most of the finite difference/element methods developed so far are rather complicated to implement. In this study, we develop a ResNet-based artificial neural network (ANN) to predict solutions of PBE. Our networks are robust with respect to the locations of charges and shapes of solvent–solut