… substantial variability in the performance of radiologists interpreting a standardized set of
chest radiographs. Despite this wide range of diagnostic performance, two key elements …

… To explore the potential benefit of artificial intelligence (AI) assistance in the detection of
thoracic abnormalities on chest radiographs by evaluating the performance of radiologists with …

… This has the potential to improve radiology service delivery in the area. Therefore, the aim of
… the performance of Nigerian radiographers in interpretation of plain chest radiographs. The …

AIM To evaluate the role that artificial intelligence (AI) could play in assisting radiologists as
the first reader of chest radiographs (CXRs), to increase the accuracy and efficiency of lung …

… , performance is significantly related to years of reading experience. In the present study, …
radiologist performance was measured, but others have used test sets to measure performance …

… Several studies have reported machine learning models achieving radiologist-level
performance for different chest radiograph findings. However, large-scale adoption of these models …

… The purpose of this study is to investigate the performance of a deep learning algorithm
on the detection of pathologies in chest radiographs compared with practicing radiologists. …

… , all radiologists reviewed 10 separate chest radiographs, which … question report form and
the observer performance tool. … of chest radiographs that individual radiologists report over 2 …

… of the improvement in reader performance in our study may have occurred because the
radiograph was viewed twice by the reader rather than because of the CAD performance itself, in …

… diagnostic performance between the ten radiologists, two chest physicians and two residents
in radiology in detecting lung cancer presenting as nodular lesions on the chest radiograph…