Assessment of inspiration and technical quality in anteroposterior thoracic radiographs using machine learning
Chest radiographs are the most performed radiographic procedure, but suboptimal technical factors can impact clinical interpretation. A deep learning model was developed to assess technical and inspiratory adequacy of anteroposterior chest radiographs.
Source: Radiography - Category: Radiology Authors: L. Sorace, N. Raju, J. O'Shaughnessy, S. Kachel, K. Jansz, N. Yang, R.P. Lim Source Type: research