Seoul National University Hospital radiology department professor Changmin Park team (Jonghyuk Lee and Hyeyoung Sun) announced the results of verifying the performance of the diagnostic system using chest X-ray images of 570 people who had undergone health checkups from 2008 to 2012.
The collected data was a total of 10,576 copies, and the actual lung cancer was 98. Among them, the performance of the diagnostic system was measured after excluding 51 sheets, where it was difficult to determine whether it was lung cancer using only chest X-rays. As a result, the artificial intelligence diagnosis system showed a diagnosis accuracy of about 97% and proved excellent performance. It also showed an excellent sensitivity of about 83%. Sensitivity is a good indicator of the performance of a test method or predictive tool. In particular, it showed a sensitivity of 100% in lung cancer, which is very clearly visible.
This study is meaningful in that it has verified the system’s diagnostic ability in the actual health examination situation for healthy generalists. The performance of the AI diagnostic system has been verified through previous studies, but the results are unknown when applied to the general public with low disease frequency. In this study, the incidence of lung cancer was very low, about 0.1% of the total 570 examinees. As a result of the experiment, the diagnostic system proved its performance with high accuracy even in real situations.
In Korea, more than 5 million people receive health check-ups per year. As a large number of chest X-ray examinations are performed, the work of the radiologist to be read becomes heavy, and there is a high risk of reading errors. In the future, it is expected that artificial intelligence will be able to relieve the heavy work in the area.
Professor Chang-min Park said, “Through this study, we have confirmed that the artificial intelligence system is useful for finding lung cancer in a large-scale health checkup.” “Research so that artificial intelligence can be of practical help to actual patients and the general public beyond the laboratory level. We will continue development.”
This study was conducted with the support of intensive nurturing research at Seoul National University Hospital, and utilized the Lunet Insight CXR artificial intelligence jointly developed by Seoul National University Hospital and Lunit Co., Ltd. The research results were published in the online edition of’Radiology’, the leading academic journal in the field of radiology.