(Clinical) Assistant Professor for the Office of Hospital Information, Seoul National University Hospital
Adjunct Assistant Professor for the Department of Medicine, College of Medicine, Seoul National University
Deputy Head for the Division of Medical Devices Evaluation and Licensing, Seoul National University Hospital
Ph.D. in Computer Science (Artificial Intelligence)
[Google Scholar] [ORCID]
I am a (Clinical) Assistant Professor (임상교수) at the Office of Hospital Information and a Research Fellow member of the VitalLab of Seoul National University Hospital (SNUH). I am also an Adjunct Assistant Professor at Seoul National University College of Medicine and a Deputy Head of the Division of Medical Device Evaluation and Licensing of SNUH. I am researching and analyzing vital signals or EMR data from real-world medical practice and developing medical AI systems. I am interested in the AI transformation of clinical decision support systems.
I was an Assistant Professor (진료교수) at the Office of Hospital Information. Additionally, I served as a Research Assistant Professor (연구교수) at the Biomedical Research Institute and the Department of Anesthesiology and Pain Medicine at SNUH, where I was honored to be advised by Hyung-Chul Lee. I obtained a Ph.D. in Computer Science (major in Artificial Intelligence) at the Daegu Gyeongbuk Institute of Science and Technology (DGIST), where I was exceptionally fortunate to be advised by Min-Soo Kim (currently at KAIST) and co-advised by Daehoon Kim. Before that, I obtained an M.S. and B.S. in Industrial Engineering at Kyonggi University, where I was blessed to be advised by Tai-Woo Chang.
[2025.09] I have been promoted to Clinical Assistant Professor (임상교수) in the Office of Hospital Information at Seoul National University Hospital!
[2025.08] A new paper has been accepted for publication in the Journal of Clinical Anesthesia (SCIE, IF=5.1, JCR 2024 top 10.29%). "Associations of Driving Pressure and Mechanical Power with Postoperative Pulmonary Complications in One-lung Ventilated Surgery"
[2025.07] An Editorial in the British Journal of Anaesthesia (the top Journal in the Anesthesiology area) has honorably mentioned our paper! https://doi.org/10.1016/j.bja.2025.06.016
# : co-first / ⁎ : corresponding
[J23] J. Kim#, H.-L. Yang#, E. Kim*, H.-C. Lee*, H.-K. Yoon, Y. J. Kim, K.-N. Kim, J.-Y. Kim, J. M. Sung, T. Lee, "Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database", Korean Journal of Anesthesiology, 78(5), Oct. 2025. (SCIE, IF=6.3, JCR 2024 top 7.35%), https://doi.org/10.4097/kja.24831
[J22] H.-L. Yang#, S.-A Park#, H.Y. Lee, H. Lee, H.-G. Ryu, H.-C. Lee, S.-M. Lee, J. Lee, "Associations of Driving Pressure and Mechanical Power with Postoperative Pulmonary Complications in One-lung Ventilated Surgery", Journal of Clinical Anesthesia, 106:111981, Sep. 2025 (SCIE, IF=5.1, JCR 2024 top 10.29%), https://doi.org/10.1016/j.jclinane.2025.111981
[J21] H.-L. Yang, Leo A. Celi, H. Lee, S.-A Park, SJ. Lee, C.-W. Jung, H.-C. Lee, "Effect of selection bias on the performance of deep learning-based intraoperative hypotension prediction model using real-world samples in a publicly available dataset", British Journal of Anaesthesia, 135(3):571-581, Sep. 2025. (SCIE, IF=9.2, JCR 2024 top 1.47%, #1, top journal in Anesthesiology area) https://doi.org/10.1016/j.bja.2025.03.024
[Editorial Cover] S. T. Vistisen, and P. Elbers, "Predicting arterial pressure without prejudice: towards effective hypotension prediction models", British Journal of Anaesthesia, Jul. 2025. https://doi.org/10.1016/j.bja.2025.06.016
[J20] S. Shim, M.-S. Kim, C. G. Yae, Y. K. Kang, J. R. Do, H. K. Kim*, H.-L. Yang*, "Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification", Journal of the American Medical Informatics Association, 32(5):800-810, May 2025. (SCIE, IF=4.6, JCR 2024 top 10.81%) https://dx.doi.org/10.1093/jamia/ocaf021
[J19] H.-L. Yang#, S.-A Park#, H.Y. Lee, H. Lee, H.G. Ryu, "Feasibility of estimating tidal volume from electrocardiograph-derived respiration signal and respiration waveform", Journal of Critical Care, 85:154920, Feb. 2025 (SCIE, IF=2.9), https://doi.org/10.1016/j.jcrc.2024.154920
[J18] S. Kwon#, S. Chung#, S.-R. Lee*, K. Kim*, J. Kim, D. Baek, H.-L. Yang, E.-K. Choi, S. Oh, "Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study", Digital Health, 11:20552076241311460, Jan. 2025 (SCIE, IF=3.3, JCR 2024 Q1), https://doi.org/10.1177/20552076241311460
[J17] H.Y. Lee, S. Chung, D. Hyeon, H.-L. Yang, H.-C. Lee, H.G. Ryu, H. Lee, "Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients", npj Digital Medicine, 7(1):325, Nov. 2024. (SCIE, IF=15.1, JCR 2024 top 0.54%, #1) https://doi.org/10.1038/s41746-024-01335-x
[J16] 양현림*, 김민경, 이정찬, 이사람, "소프트웨어 의료기기 허가심사를 위한 연구개발 프로세스 연계 요구사항 분석 및 가이드라인 개발", Journal of the Biomedical Engineering Research, 45(5): 268-278, 2024. (KCI) https://dx.doi.org/10.9718/JBER.2024.45.5.268
[C5] S. Shim, H.-L. Yang*, M.-S. Kim*, "Comparison of Self-Supervised Learning Methods for Optical Coherence Tomography Image Classification", The 8th International Conference on Medical and Health Informatics (ICMHI 2024), May 2024. https://doi.org/10.1145/3673971.3673989
[J15] J. Kim, H.-L. Yang, S.-H. Kim, S. Kim, J. Lee, J. Ryu, K. Kim, Z. Kim, G. Ahn, D. Kwon, H.-J. Yoon, "Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study", EClinicalMedicine, 68:102445, Feb. 2024 (SCIE, IF=10.0, JCR 2024 top 3.31%); https://doi.org/10.1016/j.eclinm.2024.102445
[J14] D. Yun, H.-L. Yang, S.K. Kwon, S.-R. Lee, K. Kim, K. Kim, H.-C. Lee, C.-W. Jung, Y.S. Kim, S.S. Han*, "Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture", Journal of the American Medical Informatics Association, 31(1):79-88, Dec. 2023. (SCIE, IF=4.7, JCR 2023 top 10.92%); https://doi.org/10.1093/jamia/ocad219
[J13] H. Lee, H.-L. Yang, H.G. Ryu, C.-W. Jung, Y.J. Cho, S.B. Yoon, H.-K. Yoon, H.-C. Lee*, "Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU", npj Digital Medicine, 6(1):215, Nov. 2023. (SCIE, IF=12.4, JCR 2023 top 1.15%, #2); https://doi.org/10.1038/s41746-023-00960-2
[J12] D. Yun, H.-L. Yang, S.G. Kim, K. Kim, D.K. Kim, K.-H. Oh, K.W. Joo, Y.S. Kim, S.S. Han*, "Real-time dual prediction of intradialytic hypotension and hypertension using an explainable deep learning model", Scientific Report, 13(1):18054, Oct. 2023. (SCIE, IF=3.8, JCR 2023 Q1); https://doi.org/10.1038/s41598-023-45282-1
[J11] J.-B. Park, H.-J. Lee, H.-L. Yang, E.-H. Kim, H.-C. Lee, C.-W. Jung, H.-S. Kim*, "Machine learning-based prediction of intraoperative hypoxemia for pediatric patients", PLoS One, 18(3):e0282303, Mar. 2023 (SCIE, IF=2.9, JCR 2023 Q1); https://doi.org/10.1371/journal.pone.0282303
[J10] H.-Y. Cho#, K. Lee#, H.-J. Kong, H.-L. Yang, C.-W. Jung, H.-P. Park, J.-Y. Hwang, H.-C. Lee*, "Deep-learning model associating lateral cervical radiographic features with Cormack–Lehane grade 3 or 4 glottic view", Anaesthesia, 78(1):64-72, Jan. 2023 (SCIE, IF=10.7, JCR 2022 top 1.47%, #1); https://doi.org/10.1111/anae.15874
[C3] S.-A Park, H.-C. Lee, C.-W. Jung, H.-L. Yang*, "Attention mechanisms for physiological signal deep learning: which attention should we take?", MICCAI 2022 (top conference in medical AI area). (acceptance rate=31%), http://arxiv.org/abs/2207.06904, https://doi.org/10.1007/978-3-031-16431-6_58
[J9] H.-K. Yoon, H.-L. Yang, C.-W. Jung, H.-C. Lee*, "Artificial intelligence in perioperative medicine: a narrative review", Korean Journal of Anesthesiology, 73(3):202-215, Jun. 2022 (SCIE, IF=2.9); https://doi.org/10.4097/kja.22157
[J8] J.G. Nam#, J.W. Kim#, K. Noh, H. Chio, D.S. Kim, S.-J. Yoo, H.-L. Yang, E.J. Hwang, J.M. Goo, E.-A. Park, H.Y. Sun, M.-S. Kim*, C.M. Park*, "Automatic Prediction of Left Cardiac Chamber Enlargement from Chest Radiographs using Convolutional Neural Network", European Radiology, 31(11):8130-8140, Nov. 2021 (SCIE, IF=7.034, JCR 2021 top 15%); https://doi.org/10.1007/s00330-021-07963-1
[J7] H.-L. Yang, C.-W Jung, S.-M. Yang, M.-S. Kim, S. Shim, K.-H. Lee, H.-C. Lee*, "Development and validation of an arterial pressure-based cardiac output algorithm using a convolutional neural network: Retrospective study based on prospective registry data", JMIR Medical Informatics, 9(8):e24762, Aug. 2021 (SCIE, IF=3.231); https://doi.org/10.2196/24762
[C2] H.-L. Yang, H.-C. Lee, C.-W. Jung, M.-S. Kim*, "A Deep Learning Method for Intraoperative Age-agnostic and Disease-specific Cardiac Output Monitoring from Arterial Blood Pressure" (Full paper track), IEEE International conference on bioinformatics and bioengineering (IEEE BIBE) 2020, https://doi.org/10.1109/BIBE50027.2020.00112
[J6] H.-L. Yang, J.J. Kim, J.H. Kim, Y.K. Kang, D.H. Park, H.S. Park, H.K. Kim*, M.-S. Kim*, "Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images", PLOS ONE, 14(4):e0215076, Apr. 2019. (SCIE, IF=2.766) https://doi.org/10.1371/journal.pone.0215076
[J5] H.-L. Yang, T.W. Chang* and Y. Choi, "Exploring the Research Trend of Smart Factory with Topic Modeling", Sustainability, 10(8), 2018. (SCIE, SSCI, IF=2.592) https://doi.org/10.3390/su10082779
[J4] T.W. Chang* and H.-L. Yang, "Latent Semantic Analysis of Research Papers on Smart Factory", ICIC Express Letters, 11(4), 2017.
[C1] 양현림, 장태우, "텍스트마이닝을 이용한 스마트팩토리 관련 연구동향 분석", 한국스마트미디어학회&한국전자거래학회 공동추계학술대회, 2016.
[J3] H.L. Yang, H.Y. Oh, H.J. Lee, T.W. Chang*, "A Study on Mobile Service through Analysis of Business Model Patents", Journal of the Korea Management Engineers Society, 21(4), 2016.
[J2] H.L. Yang and T.W. Chang*, "Development of Multiple Visual Devices for 3D Surveillance of Big Structure", ICIC Express Letters Part B: Applications, 7(9), 2016.
[J1] H.L. Yang and T.W. Chang*, "An R-based Genetic Algorithm for Placement of Surveillance Cameras", ICIC Express Letters, 10(6), 2016.
[P4] C.-W. Jung, H.-C. Lee, H.-L. Yang, M.-S. Kim, "DEVICE AND METHOD FOR CALCULATING STROKE VOLUME USING AI" (EU: 21759740.0)
[P3] 김희수, 정철우, 이형철, 양현림, "소아환자용 일회박출량 인덱스 추정 시스템 및 방법" (KR: 10-2447962)
[P2] 정철우, 이형철, 양현림, 김민수, "AI를 이용한 일회박출량 산출 장치 및 방법" (KR; PCT: 10-2377609)
[P1] 장태우, 문준영, 양현림, 임준형, 정지운, "감시장비 배치장치 및 방법" (KR: 10-1711521) / expired
[D1] APCONet, 제인 24-113호, 생체신호 분석 소프트웨어 E052020.01(2), 대한민국 식품의약품안전처
Related Works: "Development and validation of an arterial pressure-based cardiac output algorithm using a convolutional neural network: Retrospective study based on prospective registry data", JMIR Medical Informatics, 2021;9(8):e24762, https://doi.org/10.2196/24762
Related Patents:
"AI를 이용한 일회박출량 산출 장치 및 방법" (KR; PCT: 10-2377609)
"DEVICE AND METHOD FOR CALCULATING STROKE VOLUME USING AI" (EU: 21759740.0)
Press Article: https://www.etoday.co.kr/news/view/2340154
https://www.dailymedi.com/news/news_view.php?wr_id=909531
[Ph.D. Thesis] "Exploiting the Intermediate Layers of Convolutional Neural Networks for Medical Deep Learning", DGIST, 2021.02
[M.S. Thesis] "A Study on Research Trends of Smart Factory using Keyword Analysis and Topic Modeling (키워드 분석과 토픽모델링을 이용한 스마트팩토리 학술연구 동향 분석)", Graduate School in Kyonggi University, 2017.02
In the rapidly changing world of AI research, I'm sharing this list to give you a sense of what I've recently been interested in and working on. However, I'd like to point out that these studies were also started at least 6 months to a year ago and may be different from my current research interests.
"Anonymized title" (about masked reconstruction-based physiological signal pre-trained model)
Role: Corresponding Author
Under Review @ top CS conference
"Detection of arterial fibrillation and flutter in the single-lead electrocardiogram using a parameter-efficient deep learning network"
Role: Co-corresponding Author
Under Review @ SCIE Journal (JCR top 10%)
"Development and validation of an arterial pressure-based stroke volume estimation algorithm in children using deep-learning technique"
Role: First Author
Under Review @ SCIE Journal (JCR Q1)
"Multi-Parameter Prediction of Extubation Failure using Spontaneous Breathing Trial and Post-Spontaneous Breathing Trial Rest Period Data"
Role: First Author
Under Review @ SCIE Journal (JCR Q1)
"MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation"
Role: Co-corresponding Author
Under Review @ SCIE Journal (JCR top 10%)
"A Masked Representation Learning to Model Cardiac Functions Using Multiple Physiological Signals"
Role: Corresponding Author
Under Review @ SCIE Journal (JCR top 10%)
[2025.09 ~ Present] Clinical Assistant Professor (임상교수) @ Seoul National University Hospital (SNUH)
Office of Hospital Information
의료정보시스템 기획, 의료인공지능&데이터사이언스 연구개발
[2024.10 ~ Present] Adjunct Assistant Professor (겸임교수) @ Seoul National University College of Medicine
Department of Medicine
[2021.09 ~ Present] Deputy Head of Division @ SNUH Innovative Biomedical Technology Research Institute
Division of Medical Device Evaluation and Licensing, Department of Full Cycle Support for Medical Device
원내 GMP 시설 운영 및 관리, 원내 연구진 의료기기 인허가 컨설팅
[2024.08 ~ 2025.08] Assistant Professor (진료교수) @ Seoul National University Hospital (SNUH)
Office of Hospital Information
의료정보시스템 기획, 의료인공지능&데이터사이언스 연구개발
[2021.03 ~ 2024.07] Research Assistant Professor (연구교수) @ Seoul National University Hospital (SNUH)
Biomedical Research Institute
Department of Anesthesiology and Pain Medicine (VitalLab; PI: Hyung-Chul Lee, M.D., Ph.D.)
의료인공지능, 데이터사이언스 연구개발
[ ~ 2021.02] Ph.D. in Computer Science (Artificial Intelligence) @ DGIST
InfoLab (Advisor: Min-Soo Kim, Ph.D.)
Thesis: "Exploiting the Intermediate Layers of Convolutional Neural Network for Medical Deep Learning"
[On-going]
환각과 편향이 제거된 지식그래프 기반의 생체신호 기반모델 개발 및 검증 (개인연구과제)
연구책임자, 세종과학펠로우십, 한국연구재단 (NRF), 2024.05 ~ 2029.04
한국형 중환자 특화 빅데이터 (K-MIMIC) 구축 및 AI-CDSS 개발 IMPACT 컨소시엄 (주관: 서울대학교병원)
참여연구원, 중환자 특화 빅데이터 구축 및 AI기반 CDSS 개발 컨소시엄, 보건복지부, 2021 ~ 2025
의료데이터 중심병원 (주관: 서울대학교병원)
참여연구원, 의료데이터 중십병원 지원사업, (재)한국보건의료정보원, 2024 ~2025
K-CURE 임상데이터 네트워크 구축 (주관: 서울대학교병원)
참여연구원, K-CURE 임상데이터 네트워크 구축사업, (재)한국보건의료정보원, 2024 ~ 2025
범용적 생체신호 빅데이터 큐레이션 및 품질평가 기술검증 (주관: 서울대학교병원)
참여연구원, 보건의료 빅데이터 큐레이션 기술개발사업, 보건복지부, 2022 ~ 2026
대규모 언어모델과 임상 의사결정 지원 시스템을 활용한 중환자 발생 예측 및 안전한 이송지원 플랫폼 개발 및 실증연구 (주관: 세종충남대학교병원)
참여연구원, 한국형 K-ARPA-H 프로젝트, 보건복지부, 2025 ~ 2029
AI 기반 수술 환경 적응형 수술보조로봇 플랫폼의 개발 (주관: 서울대학교병원)
참여연구원, 한국형 K-ARPA-H 프로젝트, 보건복지부, 2025 ~ 2029
[Past]
인공지능기반 예측지표 활용 가능한 원격지원형 융복합 환자감시장치 개발 (주관: 서울대학교병원)
참여연구원, 범부처전주기의료기기연구개발사업, KMDF, 2021 ~2024
ECG와 PPG 기반 딥러닝 모델을 이용한 실시간 비침습적 심박출량 예측 시스템 개발
연구책임자, 의생명연구원 일반연구과제, 서울대학교병원, 2023-2024
암흑데이터 극한활용 연구센터 (주관: 대구경북과학기술원)
참여연구원, 선도연구센터사업, 한국연구재단 (NRF), 2018 ~ 2025
환자감시장치의 클라우드 연결을 통한 지능형 의료사물인터넷 플랫폼 구축 (주관: 서울대학교)
참여연구원, 범부처전주기의료기기연구개발사업, KMDF
딥러닝 기반의 수술 중 최소침습형 심박출량 예측 알고리즘에 대한 전향적 관찰 연구
연구책임자, 혁신의료기술 연구과제, 서울대학교병원, 2021-2022
Lecturer @ K-MOOC (with KOHI)
Course: 의료 인공지능 개론
Topic: 의료인공지능기술 2: 생체신호 데이터 분석 기법 (RNN, Transformer)
Lecturer (Team teaching) @ 서울대학교 의과대학
Date: Nov. 7, 2023
Course: 의료와 데이터사이언스 (의예과 전공선택)
Topic: 인공지능을 활용한 데이터 분석
Lecturer (Team teaching) @ 서울대학교 의과대학 대학원
Date: Nov. 1, 2023
Course: 의생명 빅데이터를 활용한 인공지능의 이해와 실습
Topic: 병원 생체신호 빅데이터 수집 및 활용
Lecturer (Team teaching) @ 서울대학교 의과대학 대학원
Date: Oct. 25, 2023
Course: Data Science in Perioperative Medicine
Topic: Machine Learning - Tree-based models
Lecturer @ 전북대학교 컴퓨터공학부 전공심화교육
Date: Nov. 19, 2022 ~ Dec. 4, 2022
Course: 의료 데이터 분석 교육
Topic: 의료 영상 기초, 의료영상 분석 및 실습, EMR/생체신호 기초, EMR/생체신호 분석 및 실습
Team mentor @ KOHI (한국보건복지인력개발원)
Date: Sep. 2022 ~ Nov. 2022
Course: 의료 인공지능 전문가 양성과정 (2022) 팀프로젝트
Lecturer @ 대한마취약리학회 2022 Vital Recorder Workshop
Date: Sep. 17, 2022
Course: 생체신호 이용 연구사례
Lecturer @ KOHI (한국보건복지인력개발원)
Date: Aug. 13, 2022 / Sep. 3, 2022
Course: 의료 인공지능 전문가 양성과정 (2021)
Topic: 생체신호 데이터 전처리 및 분석 실습 / 인공지능을 활용한 생체신호 데이터 분석 실습
Lecturer @ 서울대학교 의과대학 대학원
Date: May. 12, 2022
Course: 의료데이터사이언스의 이해와 실습
Topic: 생체신호 분석 실습
Team mentor @ KOHI (한국보건복지인력개발원)
Date: Oct. , 2021 ~ Dec. 2021
Course: 의료 인공지능 전문가 양성과정 (2021) 팀프로젝트
Lecturer (Team teaching) @ 서울대학교 융합과학기술대학원 헬스케어융합학과
Date: Oct. 19, 2021
Course: 생체신호 분석을 위한 기계학습
Topic: 수술장 생체신호 데이터의 임상적 해석과 분석 (실습)
Lecturer @ KOHI (한국보건복지인력개발원)
Date: Jul. 31, 2021 / Sep. 4, 2021
Course: 의료 인공지능 전문가 양성과정 (2021)
Topic: 인공지능을 이용한 생체신호 분석 사례 / 인공지능을 활용한 생체신호 데이터 분석 실습
Lecturer @ KoSAIM 2021 춘계학술대회
Date: May. 21, 2021
Course: Hands-on session 2: Medical Signal
Topic: 생체 신호 분석의 실제 (2) 심전도
Visiting Ph.D Student @ Seoul National University Hospital (SNUH)
Period: 2018.09 ~ 2021.01
Collaborate with:
Dept. of Anesthesiology and Pain Medicine, Seoul National University Hospital
Devision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital
Dept. of Radiology, Seoul National University Hospital
Lecturer @ KOHI (한국보건복지인력개발원)
Date: Oct. 24, 2020 / Oct. 26, 2019
Course: 의료 인공지능 전문가 양성과정 (2020, 2019)
Topic: ML models for waveform analysis
Lecturer @ KoSAIM 2020 Summer School (대한의료인공지능학회 여름학교)
Date: Aug. 22, 2020
Course: Hands-on session 2: Medical Signal
Topic: CNN
The 2023 Excellence In Technology Award @STA 2023 Best Abstract Awards
Society for Technology in Anesthesia (STA) 2023, Las Vegas, Nevada. (12, Jan., 2023)
Presenter: Seong-A Park, Corresponding Author: Hyun-Lim Yang.
"A Non-invasive Algorithm for Predicting Cardiac Output Using a Convolutional Neural Network"
First Runner Up Awards (rank 3 among selected 21 teams) @ Singapore Healthcare AI Datathon & Expo (SHADE) 2022
Singapore Healthcare AI Datathon & Expo (SHADE) 2022, National University Singapore (NUS) and National University Health System (NUHS)
"Development of an AI model for non-invasive prediction of cardiac output"
3rd Prize @ MAIC Challenge
SNUH Medical AI Challenge, Seoul National University Hospital
"CDM AI challenge: Forecasting AKI"
Second Runner Up Awards (rank 4 among 57 teams) @ Singapore Healthcare AI Datathon 2021
Singapore Healthcare AI Datathon & Expo 2021, National University Singapore (NUS) and National University Health System (NUHS)
"AI model for Intraoperative Hypoxemia Prediction"
Full government scholarship (Ph.D. program)
The Best Research Awards (Abstract competition) @ KoreAnesthesia 2020
The 97th Annual Scientific Meeting of the Korean Society of Anesthesiologist (대한마취통증의학회 국제학술대회), [11/2020]
"Development of an uncalibrated arterial pressure-based cardiac output algorithm on using a convolutional neural network and transfer learning technique"
제 5회 산업융합 활성화 방안 및 사례연구 논문공모전 장려(한국생산기술연구원장상)
국가산업융합지원센터 / 대한산업공학회 [11/2016]
한국 SCM학회 대학생 경진대회 동상
한국 SCM학회 [06/2015]
"수출컨테이너 적입량 증대방안"
Invited talk @ 대한전자공학회 2022 추계학술대회
Date: Nov. 25, 2022
Topic: Attention mechanisms for physiological signal deep learning: which attention should we take? (MICCAI 2022 presented)
Seminar @ Chungnam National University Biomedical Research Institute
Date: Jun. 16, 2022
Topic: 병원 생체신호 빅데이터의 수집 및 활용 사례 - 중환자실과 수술실을 중심으로
Special talk @ Kyonggi University (산업인공지능 전문인력 양성사업 특강)
Date: Apr. 12, 2022
Topic: 의료 인공지능 데이터 분석 사례
Seoul National University Hospital
Healthcare AI Research Institute
Department of Transdisciplinary Medicine
Department of Biomedical Engineering
Department of Anesthesiology and Pain Medicine
Department of Critical Care Medicine
Department of Radiology
Department of Internal Medicine (Division of Pulmonary and Critical Care Medicine)
Department of Internal Medicine (Division of Nephrology)
Department of Internal Medicine (Division of Cardiology)
Department of Emergency Medicine
Department of Pathology
Massachusetts Institute of Technology (MIT)
Institute for Medical Engineering & Science (Laboratory for Computational Physiology)
Korea Advanced Institute of Science and Technology (KAIST)
School of Computing
Ulsan National Institute of Science and Technology (UNIST)
Graduate School of Health Science and Technology
Daegu Gyeongbuk Institute of Science and Technology (DGIST)
Department of Electrical Engineering and Computer Science
Kyungpook National University Hospital
Department of Ophthalmology
Hanyang University Medical Center
Department of Anesthesiology and Pain Medicine
Department of Orthopedic Surgery
National Traffic Injury Rehabilitation Hospital
Traffic Injury Rehabilitation Research Institute
I'm open to any collaborative research! Please do not hesitate to reach out! 😁
[2025.09] I have been promoted to Clinical Assistant Professor (임상교수) in the Office of Hospital Information at Seoul National University Hospital!
[2025.08] A new paper has been accepted for publication in the Journal of Clinical Anesthesia (SCIE, IF=5.1, JCR 2024 top 10.29%). "Associations of Driving Pressure and Mechanical Power with Postoperative Pulmonary Complications in One-lung Ventilated Surgery"
[2025.07] An Editorial in the British Journal of Anaesthesia has honorably mentioned our paper! https://doi.org/10.1016/j.bja.2025.06.016
[2025.05] A new patent has been granted to the European Patent Office. "DEVICE AND METHOD FOR CALCULATING STROKE VOLUME USING AI", 21-759-740.0
[2025.04] A new paper has been accepted for publication in the Korean Journal of Anesthesiology (SCIE, IF=4.2, JCR 2023 top 14.06%). "Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database"
[2025.03] A new paper has been accepted to the British Journal of Anaesthesia (SCIE, IF=9.1, JCR top 3.125%). "Effect of selection bias on the performance of deep learning-based intraoperative hypotension prediction model using real-world samples in a publicly available dataset"
[2025.01] A new paper has been accepted for publication in the Journal of the American Medical Informatics Association (SCIE, IF=4.7, JCR top 10.92%). "Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification"
[2025.01] A new co-authored paper was accepted to Digital Health (SCIE, IF=2.9), "Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study."
[2024.11] A new co-authored paper was accepted to npj Digital Medicine (SCIE, IF=12.4, JCR top 1.15%). "Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients"
[2024.10] A new paper has been accepted to the Journal of Biomedical Engineering Research (의공학회지; KCI). "Development of a Guideline and Requirement Analysis Aligned with the R&D Process for Software as Medical Device Approval (소프트웨어 의료기기 허가심사를 위한 연구개발 프로세스 연계 요구사항 분석 및 가이드라인 개발"
[2024.10] I've been appointed as an Adjunct Assistant Professor (겸임조교수) at the Seoul National University College of Medicine!
[2024.09] A new paper has been accepted for publication in the Journal of Critical Care (SCIE, IF = 3.2). "Feasibility of estimating tidal volume from electrocardiograph-derived respiration signal and respiration waveform "
[2024.08] I've been appointed as an Assistant Professor (진료조교수) at the Office of Hospital Information of Seoul National University Hospital!
[2024.05] I have been awarded a research grant (Sejong Science Fellowship) of the National Research Foundation of Korea!
[2024.05] A new paper was presented at the ICMHI 2024 conference. "Comparison of Self-Supervised Learning Methods for Optical Coherence Tomography Image Classification"
[2024.01] Our AI-based SaMD, APCONet, has been approved as a software medical device by the Ministry of Food and Drug Safety of Korea! (품목인증번호: 제인 24-113호)
(Press Article): https://www.dailymedi.com/news/news_view.php?wr_id=909531
[2024.01] A new co-authored paper was accepted for publication in EClinicalMedicine (SCIE, IF = 15.1, JCR top 8.28%). "Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study"
[2023.11] A new co-authored paper was accepted for publication in npj Digital Medicine (SCIE, IF=15.2, JCR top 0.94%, rank #1). "Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU"
[2023.11] A new co-authored paper was accepted for publication in the Journal of the American Medical Informatics Association (SCIE, IF=6.4, JCR top 9.43%). "Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture"
[2023.10] A new co-authored paper has been accepted for publication in Scientific Reports (SCIE, IF = 4.6). "Real-time dual prediction of intradialytic hypotension and hypertension using an explainable deep learning model"
[2023.03] Our team member (Seong-A Park) won the 2023 Excellence in Technology Award at the Society for Technology in Anesthesia (STA) 2023! "A Non-invasive Algorithm for Predicting Cardiac Output Using a Convolutional Neural Network"
[2023.02] A new co-authored paper was accepted for publication in PLoS One (SCIE, IF = 3.752). "Machine learning-based prediction of intraoperative hypoxemia for pediatric patients"
[2022.12] Our team won the First Runner-Up Award (top 3 among 21 selected teams) at the Singapore Healthcare AI Datathon & Expo (SHADE) 2022! "Development of an AI model for non-invasive prediction of cardiac output"
[2022.10] A new co-authored paper was accepted for publication in Anaesthesia (SCIE, IF=12.893, JCR top 1.47%, #1). "A deep learning model for predicting a difficult laryngoscopy based on a cervical spine lateral X-ray image"
[2022.06] A new paper was accepted to MICCAI 2022 (the top conference in the medical AI area). "Attention mechanisms for physiological signal deep learning: which attention should we take?"
[2022.05] A new co-authored review paper has been accepted for publication in the Korean Journal of Anesthesiology (SCIE, IF = 5.167). "Artificial intelligence in perioperative medicine: a narrative review"
[2021.12] Our team won 3rd Prize (ranked 4th among 57 teams) at the MAIC challenge! "CDM AI challenge: Forecasting AKI"
[2021.12] Our team won the Second Runner-Up Award (top 6 among 62 teams) at the Singapore Healthcare AI Datathon 2021! "AI model for Intraoperative Hypoxemia Prediction"
[2021.09] I've been appointed as Deputy Head of the Division of Medical Regulatory Affairs at Seoul National University Hospital.
[2021.08] A new paper has been accepted for publication in JMIR Medical Informatics (SCIE, IF = 3.231). "Development and validation of an arterial pressure-based cardiac output algorithm using a convolutional neural network: Retrospective study based on prospective registry data"
[2021.03] A new co-authored paper was accepted to European Radiology (SCIE, IF=7.034, JCR top 15%). "Automatic Prediction of Left Cardiac Chamber Enlargement from Chest Radiographs using Convolutional Neural Network"
[2021.02] I've started work at Seoul National University Hospital as a Research Assistant Professor.
[2021.02] I graduated from the DGIST!
[2020/11] Our team won the best research award for the abstract competition at KoreAnesthesia 2020. "Development of an uncalibrated arterial pressure-based cardiac output algorithm using a convolutional neural network and transfer learning technique"
[2020/10] A new paper was presented at IEEE BIBE2020. "A Deep Learning Method for Intraoperative Age-agnostic and Disease-specific Cardiac Output Monitoring from Arterial Blood Pressure"
[2019/04] A new paper was accepted to PLOS ONE (SCIE, IF=2.766). "Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images"
[2018/09] I've started doing projects at Seoul National University Hospital as a Visiting PhD Student.
[2018/08] A new paper was accepted to Sustainability (SCIE, IF=2.592). "Exploring the Research Trend of Smart Factory with Topic Modeling"
[2017/03] I've joined InfoLab. at DGIST as a PhD student.