Coreline Soft announced on June 20 that it has been selected as the final implementing institution for the "AI-Based Medical System Digital Transformation Support Project" organized by the National IT Industry Promotion Agency. The total project budget over two years is 2.32 billion won. Coreline Soft will first carry out the project for the current year. Through this, the company has officially succeeded in entering the public hospital network.
The AI-Based Medical System Digital Transformation Support Project aims to conduct AI-based lung cancer screenings for 6,000 people this year at six medical centers in the Chungcheong region?Seosan, Hongseong, Chungju, Cheonan, Cheongju, and Gongju?and for 10,000 people at ten hospitals in 2026. The goal of the project is to standardize protocols by reflecting AI interpretation results in clinical decision-making.
As part of this project, Coreline Soft will establish the first-ever "4-in-1" chest AI diagnostic platform at public hospitals. This AI platform can simultaneously detect and interpret lung cancer nodules and masses, coronary artery calcification (CAC), COPD (chronic obstructive pulmonary disease), and other structural abnormalities with a single low-dose chest CT scan, significantly improving both interpretation speed and diagnostic accuracy. The company explained that, through this project, it will establish AI-based standards for public healthcare and expand the supply of its AI platform.
Coreline Soft was selected based on its clinical experience and credibility gained through participation in national lung cancer screening projects in countries such as Germany and Italy. The Coreline Soft AI platform can be used not only for screenings but also throughout the diagnosis and treatment decision-making process, allowing patients to receive precise examinations and medical care at local medical centers without having to visit large hospitals.
Kim Jinguk, CEO of Coreline Soft, said, "With the 4-in-1 AI system, early detection, immediate diagnosis, and personalized treatment can all be achieved at once, which is expected to secure the golden time for patients in regions with limited access to medical care. We believe this will establish a model that simultaneously enhances both the efficiency and capacity of public hospital services."
He added, "Through this project, we will accumulate data-driven clinical evidence and expand the application of our proprietary platform to public healthcare institutions nationwide. Our AI platform can also proactively respond to the recent surge in demand for chest CT scans, driven by post-COVID-19 complications and industrial workers, through an AI-based automatic interpretation system."
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