Hyun-Lim Yang (양현림), Ph.D.

[On-going]

• 암흑데이터 극한활용 연구센터 (주관: 대구경북과학기술원)

  • 참여연구원, 선도연구센터사업, 한국연구재단 (NRF)

• 인공지능기반 예측지표 활용 가능한 원격지원형 융복합 환자감시장치 개발 (주관: 서울대학교병원)

  • 참여연구원, 범부처전주기의료기기연구개발사업, KMDF

• 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

• ECG와 PPG 기반 딥러닝 모델을 이용한 실시간 비침습적 심박출량 예측 시스템 개발

  • 연구책임자, 의생명연구원 일반연구과제, 서울대학교병원, 2023-2024

[Past]

• 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]

• "학술지 초록 분석을 활용한 국내 스마트팩토리의 연구 트렌드 탐색"

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

• [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)

• [2024.01] A new co-authored paper was accepted to 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 to 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 to Journal of the American Medical Informatics Associations (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 was accepted to Scientific Report (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 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 to PLoSOne (SCIE, IF=3.752). "Machine learning-based prediction of intraoperative hypoxemia for pediatric patients"

• [2022.12] Our team won the First Runner Up Awards (top 3 among selected 21 teams) at 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 to 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 (top conference in medical AI area). "Attention mechanisms for physiological signal deep learning: which attention should we take?"

• [2022.05] A new co-authored review paper was accepted to Korean Journal of Anesthesiology (SCIE, IF=5.167). "Artificial intelligence in perioperative medicine: a narrative review"

• [2021.12] Our team won the 3rd Prize (rank 4 among 57 teams) at MAIC challenge! "CDM AI challenge: Forecasting AKI"

• [2021.12] Our team won the Second Runner Up Awards (top 6 among 62 teams) at Singapore Healthcare AI Datathon 2021! "AI model for Intraoperative Hypoxemia Prediction"

• [2021.09] I've been appointed as a deputy head of a Division of medical regulatory affairs, Seoul National University Hospital.

• [2021.08] A new paper was accepted to 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 works at Seoul National University Hospital as Research Assistant Professor.

• [2021.02] I graduated from the DGIST!

• [2020/11] Our team won the best research award for abstract competition at KoreAnesthesia 2020. "Development of an uncalibrated arterial pressure-based cardiac output algorithm on using a convolutional neural network and transfer learning technique"

• [2020/10] A new paper was presented to 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 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.