AI Analysis Can Improve Lung Cancer Detection on Chest Radiographs
SEOUL, South Korea, Oct. 12, 2020 /PRNewswire/ -- A recent study published in JAMA Network Open has shown that an AI algorithm trained to detect pulmonary nodules can improve lung cancer detection on chest radiographs.
- SEOUL, South Korea, Oct. 12, 2020 /PRNewswire/ -- A recent study published in JAMA Network Open has shown that an AI algorithm trained to detect pulmonary nodules can improve lung cancer detection on chest radiographs.
- The joint research team analyzed 5,485 chest radiographs collected from participants in the National Lung Screening Trial (NLST) with Lunit INSIGHT CXR, an AI software for diagnosing chest x-rays.
- It even had a higher sensitivity compared to NLST radiologists, implementing its possibility to help detect lung cancer when used as a second reader.
- "Low-dose CT is recommended for lung cancer screening because the detection of chest radiographs is challenging for radiologists due to its projectional nature of radiography," explained Subba Digumarthy, the senior author of the study and an attending thoracic radiologist at MGH.