AI-assisted Pulmonary Nodule Detection with ALND
Myung Jin Chung, MD, Ph.D; Department of Radiology, Samsung Medical Center
Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
Chest radiography is commonly performed for screening, diagnosis, and monitoring various pulmonary lesions. However, despite being a relatively fast, easily-accessible imaging method, lesions such as lung nodules are frequently missed during radiologists’ interpretation of the image, and up to 90% of pulmonary cancer diagnosis errors in radiology are made in radiography. To assist in these cases, some previous studies have demonstrated that the addition of a computer-assisted detection device (CADe) could potentially increase the detection accuracy of the general radiologists in finding lung nodules.
*Auto Lung Nodule Detection (ALND) is not commercially available in USA