입원의학과
유동준
진료일정 진료과 센터
월 | 화 | 수 | 목 | 금 | 토 | |
---|---|---|---|---|---|---|
오전 | ||||||
오후 |
"환자를 우선으로 생각합니다."
중환자의학, 응급의학, 심폐소생술, 중독의학, Medical AI
학력
2015.02
고려대학교 의과대학 의학사주요경력
2023.03 ~ 현재
인하대병원 입원의학과 진료교수2022.03 ~ 2023.02
인하대병원 응급의학과 진료교수2018.03 ~ 2022.02
인하대병원 응급의학과 전공의2017.03 ~ 2018.02
인하대병원 인턴2015.04 ~ 2017.02
예닮요양병원 진료과장학회활동
-
AHA(미국심장협회) ACLS Instructor-
대한응급의학회 정회원-
대한응급의료지도의사협의회 정회원수상경력
주요 논문 및 저서
2024
The development and validation of a novel deep-learning algorithm to predict in-hospital cardiac arrest in ED-ICU (emergency department-based intensive care units): a single center retrospective cohort study. Signa Vitae. 24 April 2024. DOI : 10.22514/sv.2024.045. Corresponding author.2024
External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study. Critical Care Medicine. March 2024. DOI : 10.1097/CCM.000000000000613. Co-Corresponding author.2024
Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation. Critical Care. 14 March 2024. DOI: 10.1186/s13054-024-04866-7. Co-author.2023
Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data. October 2023. DOI : 10.3390/jcm12227156. Co-author.2023
Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study. 23 October 2023. DOI : 10.1186/s12887-023-04350-1. Co-author.기타
-
VUNO Medical Director (2022.07~)원하시는 예약유형을 선택해주세요
예약하시고자 하는 의료진의 진료부서를 선택해주세요