Photo from wikipedia
Key Points Question Can a deep learning–based synthetic bone-suppressed (DLBS) model additionally improve the detection of pulmonary nodules on chest radiographs? Findings In this decision analytical modeling study of 1449… Click to show full abstract
Key Points Question Can a deep learning–based synthetic bone-suppressed (DLBS) model additionally improve the detection of pulmonary nodules on chest radiographs? Findings In this decision analytical modeling study of 1449 patients, the DLBS model was more sensitive to detecting pulmonary nodules on chest radiographs compared with the original model. In addition, radiologists experienced improved nodule-detection performance when assisted by the DLBS model. Meaning These results suggest that the DLBS model could be beneficial to radiologists in the detection of lung nodules in chest radiographs without need of the specialized equipment or increase of radiation dose.
Journal Title: JAMA Network Open
Year Published: 2023
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!