AI improves x-ray reads for rads with varying experience

AI assistance can improve the detection accuracy of thoracic abnormalities on chest x-rays across radiologists with varying levels of expertise, according to a study published December 12 in Radiology. In a retrospective study, a commercially available algorithm (ChestView, v. 1.2.0, Gleamer) increased sensitivity for detecting all abnormalities on x-rays for all readers (thoracic radiologists, general radiologists, and radiology residents), according to a group of Gleamer consultants and clinicians at Cochin Hospital in Paris.“Our findings suggest that artificial intelligence assistance in chest radiograph interpretation may enhance sensitivity without affecting specificity for all readers, regardless of their level of expertise or seniority or the type of abnormality,” wrote first author Souhail Bennani, MD, and colleagues.Chest x-ray remains the most common radiologic examination worldwide and interpretation of its results can be difficult, the authors explained. Thus, in this study, they explored the potential benefit of AI assistance in detecting five thoracic abnormalities by evaluating the performance of radiologists with different levels of expertise, both with and without AI assistance.The group gathered 500 images from patients who underwent both chest x-ray and thoracic CT within 72 hours at their hospital between January 2010 and December 2020. About 50% of the x-rays had abnormal findings. A senior thoracic radiologist annotated all images for five abnormalit...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Subspecialties Digital X-Ray Chest Radiology Source Type: news