Evolution of Medicine with AI

Supporting clinical decisions with AI solutions for ECG and echocardiography

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WHAT WE DO

We automate ECG and echocardiography testing and interpretation, providing AI solutions that support clinical decision-making

Evom FastEcho

From measurement to interpretation and reporting — fast, consistent echocardiography powered by full automation

Automates the entire workflow of view classification, parameter measurement, functional assessment, and report generation to improve efficiency and consistency. Easily integrates with existing ultrasound equipment.

Automatic classification of 41 standard views and measurement of 75 parametersQuantitative assessment of Regional Wall Motion Abnormality (RWMA) and Wall ThickeningAutomated generation of standardized echocardiography reportsCompatible with various ultrasound equipment
Evom Echo AI echocardiography analysis screen

* For research use only. Not for use in diagnostic procedures.

Evom ECG AI electrocardiogram analysis screen

* For research use only. Not for use in diagnostic procedures.

Evom ECG

Accurate and comprehensive ECG analysis with multi-disease detection and objective evidence

Supports interpretation and risk stratification for major cardiac conditions. Provides visualization and detailed evidence for analysis results to enable reliable clinical decision-making.

STEMI/STEMI-equivalent interpretation with heatmap visualizationPrecise analysis of 20 ECG patterns including arrhythmias and conduction disordersScreening for reduced left ventricular ejection fractionScreening for 4 major structural heart diseases
WHO WE ARE

AI, medical, business expertise in one team

Hyeonseob Nam profile

Hyeonseob Nam

CEO, AI Researcher

B.S./M.S. in Computer Science, POSTECH

AI Researcher at NAVER, Lunit

CTO at Mediwhale

Published in Journal of Clinical Oncology and more

Hyunsuk Yoo profile

Hyunsuk Yoo

CMO, Radiologist

B.A. Stanford, M.S. MIT, M.D. Seoul National University

Medical Director at Lunit

Clinical AI research & global reference site development

Published in JAMA Network Open and more

HyunJae Lee profile

HyunJae Lee

CTO, AI Engineer

B.S./M.S. in Computer Science, Seoul National University

3D Mammography AI Dev Lead at Lunit

Built AutoML & AI solution automation platforms

Published multiple medical AI papers

Janice Jung profile

Janice Jung

COO, Business Development

B.A. in Biomedical Science, Univ. of Pennsylvania

Director of Business Development at Lunit

Led commercialization in the Americas and Asia

Secured partnerships with governments, health systems, corporates

Seoyoon Kang profile

Seoyoon Kang

Head of Regulation & Market Access

B.S. in Nursing, Korea University

Medical Writer at Lunit

Regulatory & Clinical Affairs Lead at Promedius

Oversaw FDA, CE, MFDS approvals and global market access

Jiyeon Yu profile

Jiyeon Yu

Cardiac Sonographer

Medical Laboratory Technologist

Cardiac Sonographer at Ajou University Hospital

Cardiac Sonographer at Seoul National University Hospital

Internationally certified (ARDCS)

Eunji Lim profile

Eunji Lim

Clinical Data Manager

Health Information Manager

Clinical data analysis at Dongguk University Hospital

Differential data construction at National Cancer Center

AI training dataset construction & standardization at Lunit

Gunhee Nam profile

Gunhee Nam

AI Engineer

B.S./M.S. in Computer Science, Yonsei University

Breast Team Lead at Lunit

R&D for Lunit INSIGHT CXR, MMG, DBT

CXR Foundation model research & development

Hyemin Shim profile

Hyemin Shim

Product Designer

B.F.A. Rhode Island School of Design

M.S. IMMS, KAIST

Design Team Lead at Lunit

Design Lead for Lunit INSIGHT, Lunit CARE

ADVISORS
DaYoung Paek profile

DaYoung Paek

Professor of Cardiology, Gangneung Asan Medical Center

KyungAn Kim profile

KyungAn Kim

Professor of Cardiology, Incheon St. Mary's Hospital

SeungNyeong Choi profile

SeungNyeong Choi

Director of Life Clinic Anesthesiology & Pain Medicine Specialist

End Preventable Heart Disease
And Extend People's Healthspan