학력 및 경력사항

• 고려대학교 의학박사
• 고려대학교 의학석사
• 충남대학교 의과대학 졸업

• 현재  | 이대목동병원 중환자외과 조교수
• 2019  | 이대목동병원 중환자외과 임상부교수
• 2010-2014  | 외과 전문의 취득
• 2009-2010  | 이대목동병원 인턴 수료

• 2023-현재  | 대한외상중환자외과학회 임상연구위원회 간사
• 2023-현재  | 대한외상중환자외과학회 수련위원회 위원

•  Integrating ensemble and machine learning models for early prediction of pneumonia mortality using laboratory tests.  Heliyon. 2024-07. 
•  Analysis of hemodynamics and impedance using bioelectrical impedance analysis in hypovolemic shock-induced swine model.  Scientific reports. 2024-07. 
•  Deep learning model for differentiating acute myeloid and lymphoblastic leukemia in peripheral blood cell images via myeloblast and lymphoblast classification.  Digital health. 2024-05. 
•  Liver Transplantation from Brain-Dead Donors with Hepatitis B or C in South Korea: A 2014-2020 Korean Organ Transplantation Registry Data Analysis.  Annals of transplantation. 2024-05. 
•  What is the role of artificial intelligence in general surgery?.  Ewha Medical Journal. 2024-04. 
•  Kidney Transplantation From Brain-Dead Donors With Hepatitis B or C in South Korea: A 2015 to 2020 Korean Organ Transplantation Registry Data Analysis.  Transplantation proceedings. 2024-02. 
•  Development of blood demand prediction model using artificial intelligence based on national public big data.  Digital health. 2024-01. 
•  National cancer screening program for colorectal cancer in Korea.  Annals of surgical treatment and research. 2023-12. 
•  Weighing the benefits of lymphadenectomy in early-stage colorectal cancer.  Annals of surgical treatment and research. 2023-11. 
•  Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19.  Clinical biochemistry. 2023-08. 
•  Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records.  BMC bioinformatics. 2023-05. 
•  Excellence of the closed intensive care unit system in critically ill surgical patients.  PloS one. 2023-04. 
•  Machine learning algorithm for early-stage prediction of severe morbidity in COVID-19 pneumonia patients based on bio-signals.  BMC pulmonary medicine. 2023-04. 
•  Validation of presepsin measurement for mortality prediction of sepsis: a preliminary study.  Acute and critical care. 2022-11. 
•  High scored thyroid storm after stomach cancer perforation: A case report.  World journal of clinical cases. 2022-08. 
•  Optimal duration of the apnea test for determining brain death: Benefit of the short-term apnea test.  PloS one. 2022-07. 
•  Development of Machine-Learning Model to Predict COVID-19 Mortality: Application of Ensemble Model and Regarding Feature Impacts.  Diagnostics (Basel, Switzerland). 2022-06. 
•  The Future Direction of the Organ Donation System After Legislation of the Life-Sustaining Treatment Decision Act.  Annals of transplantation. 2021-11. 
•  First Organ Donation after Circulatory Death Following Withdrawal of Life-sustaining Treatment in Korea: a Case Report.  Journal of Korean medical science. 2021-06. 
•  A comparison of transumbilical single-port laparoscopic appendectomy and conventional three-port laparoscopic appendectomy: from the diagnosis to the hospital cost.  Journal of the Korean Surgical Society. 2013-08. 

• [코메디닷컴] 20만 명 기록이 알려준 답 “이 환자부터 살리자” 2026-07-07
• [의학신문] 이대목동병원은 왜 에이아이트릭스 ‘바이탈케어’를 선택했나? 2024-11-19