The system was developed by Beijing Infervision Technology Co in 2015, and uses visualized deep learning big data analysis devices to improve the efficiency and accuracy of lung cancer screening, making it possible for medical researchers to launch in-depth research.
Put into use on a large scale in 2018, the system has been employed by more than 300 hospitals nationwide, helping examine over 30,000 images every day and providing patients with customized lung disease treatment, according to staff members at Infervision.
The system is also highly sensitive to easily-missed nodules, such as solid nodules smaller than six millimeters and ground-glass nodules.
It is able to automatically identify and mark multiple nodules including solid ones, calcified ones, partially solid ones, and ground-glass ones, providing accurate information on the nodules such as their location, size, density, and properties.
The system is also capable of automatic pre-processing, automatic comparison of images from different stages, and real-time response of patients' information to doctors.
In the future, Infervision will develop chest, brain, and bone disease screening systems based on doctors' needs to provide reliable data and image support to help make feasible and credible diagnosis and treatment.
Image processing results of an AI-assisted lung cancer screening system. [Photo provided to chinadaily.com.cn]