AVIEW Chest used for lung cancer diagnosis at Hwasun Chonnam National University

hello. I'm Se-myung Jang, a director in charge of CSR and government business.
I am mainly in charge of government and communication-related work, and I am working on various projects supported by the government and public organizations.

This time, I would like to introduce the achievements and expected effects of AVIEW_Chest, which was selected and utilized in the '2024 AI Voucher Support Project' organized by the National Information & Communication Industry Promotion Association (NIPA) in 2024 with Hwasun Chonnam National University Hospital, with the theme of efficiency and performance verification of lung cancer diagnosis using artificial intelligence.

CorelineSoft has been developing and supplying proven solutions for lung diagnosis and analysis for more than 10 years. In 2017, our headquarters took over the solution supply and SW system maintenance for the first lung cancer screening project in Korea, and we have developed a solution optimized for the lung cancer screening project using the lung CT-based technology accumulated over the years. In recognition of the product and operational know-how, it was utilized not only in the headquarters business in Korea in 2019 but also in lung cancer screening projects in various European countries, gaining domestic and international recognition for its technology and product excellence.

Medical care is divided into the areas of screening and diagnosis for different purposes, and the role of software utilized in these areas is also different. While screening is usually about finding people who have signs of disease in normal patients, diagnosis, especially reading, uses imaging to find abnormalities and analyze the evidence for treatment. Therefore, the functions and roles of software that performs these functions are also different.

CorelineSoft's lung analysis research and lung cancer screening business in the past has led to the need for a product optimized for reading images by medical staff. In 2024, we launched “AVIEW Chest,” an optimal solution for chest radiologists and medical staff.
Differentiated from the LCS Plus product, which specializes in lung cancer screening, AVIEW Chest is designed to help radiologists and medical staff read quickly and efficiently. In addition, instead of finding a single disease, AVIEW Chest is designed to find all major diseases in chest CT at once through a single analysis, so that radiologists and medical staff can refer to it and complete the reading more quickly and efficiently. The goal is to make the reading more accurate and faster, and to reduce the fatigue of medical staff.



This year, Hwasun Jeonnam University Hospital was selected as a recipient of NIPA's support to utilize AVIEW Chest in a real clinical environment to verify the effectiveness of the product we developed. Hwasun Jeonnam University Hospital is the largest hospital specializing in cancer treatment in the Honam region, and the hospital has a multidisciplinary team for lung cancer treatment. Professor Won-Ki Jung, a radiology professor, who is the general manager of the project, is also a promising young researcher in the field who has conducted lung cancer screening projects along with lung cancer diagnosis.

Since the installation of AVIEW Chest in May, all chest CT scans at Hwasun Chonnam National University Hospital have been analyzed and read by AVIEW Chest. In the event that the radiologist is absent or the reading is delayed, the lung cancer multidisciplinary team cannot wait for the final reading, so we are verifying the usefulness of utilizing AI analysis for treatment. In other words, we plan to verify whether efficiency in imaging diagnosis can help improve the overall lung cancer treatment workflow.
AVIEW Chest also has new features that extend beyond the traditional focus on lung analysis. For example, we added the ability to segment the aorta and automatically measure its diameter. This is an important indicator to recognize high-risk diseases such as aortic aneurysm and aortic dissection, which can develop if the aorta diameter becomes large and deteriorates.

Professor Won-Ki Jung, who is in charge of the project, is studying the relationship between aortic diameter changes and major diseases by comparing the accuracy of aortic diameter using chest CT of existing lung cancer screening subjects with manual measurements made by radiologists in the past and referring to past medical history. The results will be presented at relevant conferences in the future, and are expected to provide important evidence for AI to improve the efficiency of diagnosis in the medical field.

CoreLineSoft is continuously developing the world's best CT image analysis AI technology to find all thoracic diseases once and for all, and to streamline the image diagnosis process. We will continue to add more validated chest disease AIs to ultimately reduce fatigue and increase reading efficiency for image readers, ultimately reducing treatment time across the hospital.