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Lunit: Thank you for visiting our booth at RSNA 2018!

Lunit: Thank you for visiting our booth at RSNA 2018!

Also announcing new members of our advisory board: Drs. Eliot Siegel, Linda Moy, Khan Siddiqui

We would like to thank you for taking your time to visit our booth at RSNA 2018. It was our pleasure and honor to meet you.

We are delighted to have received much interest and inquiry for Lunit INSIGHT and our state-of-the-art AI technology. If you have not had chance to try it yet, you are more than welcome to check it out at For your reference, we are sending you our company brochure with our latest information.

We have news! We proudly announce new members of our advisory board: world-renowned medical experts, Drs. Eliot Siegel, Linda Moy, and Khan Siddiqui. (Below, from left)

Dr. Eliot Siegel, FACR, FSIIM, known as a visionary in radiology and one of the early pioneers of the Picture Archiving and Communication Systems (PACS), is Professor and Vice Chairman of Research Information Systems at the University of Maryland, Adjunct Professor of Computer Science and Biomedical Engineering at University of Maryland, and is Chief of Radiology and Nuclear Medicine for the Veterans Affairs Maryland Healthcare System, Baltimore, MD. Under his guidance, VA Maryland Healthcare System became the first filmless healthcare enterprise in the world.

Dr. Linda Moy, a key opinion leader in breast imaging, is a professor at NYU School of Medicine. She holds a joint appointment at the NYU Langone Medical Center and at the NYU Center for Advanced Imaging Innovation and Research. Her career as a clinician and researcher focuses on diagnostic oncologic imaging, with an emphasis on the detection of breast cancer. She is the Chair of the Radiological Society of North America’s Scientific Program Committee on Breast Imaging. She also serves as a Deputy Editor for Breast Imaging at Radiology.

Serial Entrepreneur, Founder and Chief Medical/Chief Technology Officer of higi, a medical technology company that makes self-service health stations, Dr. Khan Siddiqui, brings over 22 years of experience as a practicing clinician and technology professional. A visiting Associate Professor at the Department of Radiology at John Hopkins University School of Medicine, former Co-Director at the Center for Biomedical & Imaging Informatics, Johns Hopkins University. Prior to founding higi in 2012, Dr. Siddiqui was a Physician Executive and Principal Program Manager at Microsoft.

We are proud to have such distinguished and respected experts in radiology as our advisors in our journey in advancing medical intelligence to the next level. We are thrilled to be working with them, and with their help, we believe we can better achieve our goal to deliver state-of-the-art AI solutions that properly address unmet clinical needs.

Our CEO, Brandon Suh, presenting at Machine Learning Theater.
Our CEO, Brandon Suh, presenting at Machine Learning Theater.

We are open to various partnerships that can provide better patient care through our product. Various forms of partnerships are possible including participating in our clinical studies, testing our products at your site, integrating our products in your company's system, or distributing our products. If you would like to inquire us about a potential partnership, please feel free to contact us via 

Again, it has been our greatest pleasure to have met you. We wish your continued success! Thank you.

Team Lunit at RSNA 2018
Team Lunit at RSNA 2018


About Lunit (루닛)

Perfecting Intelligence. Transforming Medicine.

Lunit, abbreviated from “learning unit,” is a medical AI software company devoted to developing advanced medical image analytics and data-driven imaging biomarkers via cutting-edge deep learning technology.

Founded in 2013, Lunit has been internationally acknowledged for its advanced, state-of-the-art technology and its application in medical images. It has been named by CB Insights as one of “AI 100” startups transforming healthcare industry.

Lunit's technology has been recognized at international competitions such as ImageNet (5th place, 2015), TUPAC 2016 (1st place), and Camelyon 2017 (1st place), surpassing top companies like Google, IBM, and Microsoft. Lunit is based in Seoul, South Korea.

Lunit’s mission is to empower physicians with clinically actionable insights that foster accurate and cost-efficient diagnosis and treatment through unprecedented AI-powered imaging biomarkers with cutting-edge, world-leading accuracy.

루닛은 딥러닝 기술을 기반으로 한 의료 AI(인공지능) 기업이다. 2013년 설립된 루닛은 지난해 CB인사이트가 선정한 'AI 100대 스타트업'에 한국 기업으로는 유일하게 이름을 올리며 국제 의료 산업을 변화시키는 선두주자로 자리매김했다.

루닛은 세계 최고 수준의 인공지능 기술을 중심으로 데이터 기반의 이미징 바이오마커(imaging biomarker)를 발견하고 이를 활용해 의사의 진단 및 치료 과정의 정확성과 효율성을 향상시키는 것을 목표로 하고 있다.

Lunit (루닛)
6th floor, 175 Yeoksam-ro, Gangnam-gu,
Seoul, South Korea

서울시 강남구 역삼로 175 6층 (역삼동, 현승빌딩)