학력

• 서울대학교 의과대학 석사
  서울대학교 의과대학 박사

주요경력

• 서울대학교병원 수련의
  서울대학교병원 내과 전공의
  서울대학교병원 순환기 내과 전임의
  미국 로체스터 메이요 클리닉 연수
  미국 펜스테이트 병원 단기 연수
  전, 국제 심폐이식학회 프로그램 위원, 심장이식 가이드라인 위원장
  현, 보훈심사위원회 비상임위원
  현, 국립 장기 조직 혈액 관리원 심폐전문가 자문위원
  현, 한국장기조직기증원 이사
  현, 국제 심폐이식학회 이사
  현, 세종병원 심장이식센터장, 심장내과 진료과장
  현, 인천세종병원 심장내과 진료과장, 특수 검사 센터장 겸임

학회활동

• 대한내과학회 정회원
  대한심초음파학회 정회원, 편집위원, 교육위원
  대한심부전학회 교육 간사 역임, 기획 위원 간사
  대한폐고혈압 학회 전 홍보이사, 현 가이드라인 위원장
  국제 심폐이식학회 (ISHLT) 프로그램 위원
  국제 심폐이식학회 레지스트리 부책임장
  KALS(한국심폐소생술학회) Instructor
  심초음파 지도 전문의
  초음파 지도 인증의
  대한심부전학회 교육 간사 역임
  기획 위원 간사
  심부전 학회 학술 간사
  전, 폐고혈압 학회 홍보 이사
  현, 폐고혈압 학회 진료지침 이사

기타

• Inflammation and heart failure 2017
  심초음파 교과서 2019
  심부전 교과서 2019
  알기 쉬운 면역학 2019
  에코 메뉴얼 2020
  대한 심부전학회 심부전 진료 지침 2022

수상내역

• 부천세종병원 best care 상 (2016)
  심장학회 우수 논문상 (2019, 2020)
  인천세종병원 best committement 상 (2024)
  이데일리 메디칼 어워드 헌신상 (2024)
  서울대학교병원 최우수 전공의상
  아시아태평양심장학회(APCC) 최우수 초록상
  대한심장학회 기초부분 젊은 연구자상
  대한심초음파학회 최우수 구연상
  대한심초음파학회 젊은 연구자상
  SCMR mini fellowship travel grant
  LG 미래 의학자상
  ASTRAZENECA 학술상
  메이요 클리닉 말기 심부전 연구비상

주요논문

• 1) Transparent and robust Artificial intelligence-driven Electrocardiogram model for Left Ventricular Systolic Dysfunction 2025/7/22
  
  2) Spatial transcriptional landscape of human heart failure 2025/5/8
  
  3) Clinical characteristics and outcomes of acute myocarditis: an analysis of Korean multicenter registry: 2025/5/1
  
  4) Electrocardiographic-Driven artificial intelligence Model: A new approach to predicting One-Year mortality in heart failure with reduced ejection fraction patients 2025/5/1
  
  5) Genetic insights intocardiomyopathy: familial and histologic features of transplant-dependent failing hearts in hcmp 2025/4
  
  6) Descarga precoz y evolución clínica en pacientes con miocarditis fulminante sometidos a ECMO-VA: resultados de un estudio retrospectivo multicéntrico 2025/3/1
  
  7) Early unloading and clinical outcomes in patients with fulminant myocarditis undergoing VA-ECMO: results of a multicenter retrospective study 2025/3/1
  
  8) AI-Enabled Smartwatch ECG: A Feasibility Study for Early Prediction and Prevention of Heart Failure Rehospitalization 2025/2/11
  
  9) Trajectory And Associated Parameters Of Recovery In Acute Myocarditis With Left Ventricular Dysfunction 2025/1/1
  
  10) Novel Risk Scoring Model to Predict the Implementation of Veno-Arterial Extracorporeal Membrane Oxygenation in Patients With Acute Myocarditis 2024/12/12
  
  11) Transparent and robust Artificial intelligence-driven Electrocardiogram model for Left Ventricular Systolic Dysfunction 2024.10. 06.24314872
  
  12) Clinical Characteristics and Outcomes of Acute Myocarditis: An Analysis of Korean Multicenter Registry: 2024/9/30
  
  13) Combined Serum N-Terminal Pro-Brain Natriuretic Peptide Level and Ejection Fraction for Risk Prediction in Patients With Chronic Total Occlusion Who Underwent Successful Interventions
  
  14) High prevalence of ALPK3 premature terminating variants in Korean hypertrophic cardiomyopathy patients. Cardiovasc. Med., 05 July 2024
  
  15) Sex Differenced in Diastolic Function and Long-term Clinical Outcomes in Patient With Peripheral Artery Disease Who Underwent Percutaneous Transluminal Angioplasty: Single … Journal of Cardiovascular Intervention 3 (2), 72-84
  
  16) Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables. Internal Medicine 63(6), 773-780
  
  17) A rare pathogenic variant identified in a heart transplant recipient with hereditary transthyretin amyloidosis: a case report. Journal of Yeungnam Medical Science 40 (Suppl), S98
  
  18) Historical Review and Future of Cardiac Xenotransplantation. Korean Circulation Journal 53 (6), 351
  
  19) The International Society for Heart and Lung Transplantation (ISHLT) guidelines for the care of heart transplant recipients. The Journal of Heart and Lung Transplantation 42 (5), e1-e141 [IF 13.5]
  
  20) Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography International Urology and Nephrology 54 (10), 2733-2744
  
  21) Artificial Intelligence Applied to Cardiomyopathies: Is It Time for Clinical Application? Current Cardiology Reports, 1-9
  
  22) Successful Management of Recurrent Type A Aortic Dissection With Customized Fenestrated Stentgraft in a Patient With High Surgical Risk. Korean Circulation Journal 52 (8), 635-637
  
  23) Physician adherence and patient-reported outcomes in heart failure with reduced ejection fraction in the era of angiotensin receptor-neprilysin inhibitor therapy Scientific reports 12 (1), 1-9
  
  24) Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography. International Urology and Nephrology 11 April 2022
  
  25) Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG. Diagnostics 2022;4(1):26-3
  
  26) Genetics of Cardiomyopathy: Clinical and Mechanistic Implications for Heart Failure. Korean Circ J. 2021;51:e93.[IF 3.2]
  
  27) Impact of renin angiotensin system inhibitor on 3-year clinical outcomes in acute myocardial infarction patients with preserved left ventricular systolic function: a prospective cohort study from Korea Acute Myocardial Infarction Registry (KAMIR) BMC Cardiovascular Disorders volume 21, Article number: 251 (2021)
  
  28) Detection and classification of arrhythmia using an explainable deep learning model. Journal of Electrocardiology 67, 124-132
  
  29) European Review for Medical and Pharmacological Sciences 25, 4051-4063
  
  30) Beneficial Effect of Left Ventricular Remodeling after Early Change of Sacubitril/Valsartan in Patients with Nonischemic Dilated Cardiomyopathy. Medicina 57 (5), 416
  
  31) Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features. European Heart Journal - Digital Health, Volume 2, Issue 1, March 2021, Pages 106–116
  
  32) Artificial intelligence using electrocardiography: strengths and pitfalls. European Heart Journal, 2021
  
  33) Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram. International Journal of Cardiology 328, 104-110
  
  34) Artificial intelligence for detecting electrolyte imbalance using electrocardiography. Annals of Noninvasive Electrocardiology. 15 March 2021
  
  35) Initial diastolic dysfunction is a powerful predictor of 5-year mortality in peripheral arterial disease patients undergoing percutaneous transluminal angioplasty. Heart and Vessels, 2021, 1-11
  
  36) Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm. European Heart Journal - Digital Health, ztab025
  
  37) Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography Scandinavian journal of trauma, resuscitation and emergency medicine 2020.98
  
  38) Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography Scientific Reports 2020
  
  39) Prevalence and clinical features of bone morphogenetic protein receptor type 2 mutation in Korean idiopathic pulmonary arterial hypertension patients: The PILGRIM explorative cohort
  
  40) Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography. ASAIO Journal: July 16, 2020 [IF 2.2]
  
  41) A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study. Lancet Digital Health 2020; 2: e358–67
  
  42) Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography. Journal of Heart and Lung Transplantation April 23, 2020 [IF 8.7]
  
  43) Incremental prognostic value of echocardiography of left ventricular remodeling and diastolic function in STICH trial Cardiovascular ultrasound 28 May 2020 [IF 2.2]
  
  44) Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography April 2020 Journal of the American Heart Association 9(7):e014717 [IF 4.45]
  
  45) Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System. Critical Care Medicine: April 2020 - Volume 48 - Issue 4 - p e285-e289 [IF 7.44]
  
  46) Artificial intelligence for detecting mitral regurgitation using electrocardiography. Journal of Electrocardiology Volume 59, March–April 2020, Pages 151-157 [IF 1.2]
  
  47) Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography EP Europace, Volume 22, Issue 3, March 2020, Pages 412–419 [IF 5.2]
  
  48) Is there sex difference in clinical outcomes following coronary chronic Total occlusion intervention? November 2019 Cardiovascular Revascularization Medicine 21(1)
  
  49) Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction October 2019 PLoS ONE 14(10):e0224502 [IF 2.77]
  
  50) transplantation for dextrocardia: preoperative planning using 3D printing. European heart journal cardiovascular imaging 2019 [IF 5.3]
  
  그 외 100여편

• [이데일리] [심부전과 살아가기] 체한 게 아닌 우심실의 비명이었다
• [파이낸셜뉴스] 혜원의료재단 세종병원, 심장이식 100례 달성
• [의계신문] 인천세종병원 김경희 센터장, 국제심폐이식학회 부책임자 선임
• [이데일리] [심부전과 살아가기] 출산의 기쁨 뒤 산모에게 찾아온 심장병
• [헬스경향] 인천세종병원 김경희 심장이식센터장, 인도이식학회서 심장이식 교두보 마련
• [의학신문] 인천세종병원 김경희 심장이식센터장, 미국심장협회 임상심장학회 회원운영위원 위촉
• [의학신문사] 인천세종병원 김경희 심장이식센터장, 국제심폐이식학회 심장 이식 기구 부책임자 선임
• [뉴시스] 국제심폐이식학회 이사 된 인천세종병원 김경희 센터장
• [뉴시스] 인천세종병원, 유럽심장학회서 ‘심장 영상 AI 활용’ 소개
• [브릿지경제] 중증 심장병 환자들의 희망 발걸음‘세종병원과 함께하는 걷기대회’ 개최
• [의학신문] 인천세종병원 김경희 심장이식센터장, ‘심부전과 살아가기’ 책 출간
• [데일리메디] 김경희 센터장, "국제심장이식" 가이드라인 개정
• [의학신문사] 세종병원 개발 ‘하트세이프’, 심부전 환자 관리 새 지평 열다
• [이데일리] [심부전과 살아가기] BiVAD 에서 심장 이식까지, 500일의 긴 여정