ABOUT USFounded in 2018, Monitor Corporation specializes in developing AI-based analysis and diagnostic solutions for medical images. Its signature product, LuCAS, leverages AI to analyze chest CT images and automatically make diagnoses to enhance doctor workflows. Monitor Corporation’s technology has earned the trust of some of Korea’s top tech investors, including Naver and Blue Point Partners. The company enjoys partnerships with Korea’s leading hospital group as well as major healthtech players such as INFINTT Healthcare and HealthHub. What We Believe InOUR MILESTONES
Monitor Corporation was founded in 2018 by a team of researchers from Seoul National University Bundang Hospital.
While at the hospital, we discovered opportunities to improve the radiology workflow for doctors, especially given the shortfall of radiologists to analyze an ever-increasing number of CT images.
In particular, we believe we can leverage artificial intelligence to provide consistent, accurate and efficient improvements to the conventional radiology workflow.
Monitor Corporation founded
- Cooperative agreement signed with HealthHub
- Cooperative agreement signed with INFINITT Healthcare
- Secured investment from Naver and Blue Point Partners
- Selected to TIPS
Opened R&D Center
Received GMP from the Korean Ministry of Food and Drug Safety
Received venture license
Received approval from the Korean Ministry of Food and Drug Safety for a clinical trial plan
Published software research results at the 2019 Korean Congress of Radiology and the Radiological Society of North America
Selected to Seoul Asan Hospital’s corporate support program
Selected by the National IT Industry Promotion Agency for its private IA and information service expansion program
Received ISO 13485 certificate
LuCAS is approved as a CLASS III medical device by Korea’s Ministry of Food and Drug Safety
We are working with leading hospitals on a national research and development projects.
We have 7 patents pending in medical imaging.
Nam, C.-M., Kim, J. & Lee, K. J.
“Lung nodule segmentation with convolutional neural network trained by simple diameter information. in International Conference on Medical Imaging with Deep Learning (2018).”
Cho et al.
"Incidence Lung Cancer after a Negative CT Screening in National Lung Screening Trial: Deep Learning for Detection of Missed Lung Cancers. in RSNA (2019)."
Cho et al.
"Efficacy of Deep-Learning-based CAD for Chest CT in Detection of Significant Incidental Basal Lung Nodules on Abdominal CT.
in RSNA (2020)."
Get In Touch
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#903, 311, Gangnamdae-ro
Seocho-gu, Seoul, Korea
+82 2 587-0702