JAMA Network
About The Study: The results of this study suggest that a deep learning model able to distinguish colon carcinoma and acute diverticulitis in computed tomography (CT) images as a support system may significantly improve the diagnostic performance of radiologists, which may improve patient care. As an artificial intelligence support system, the model significantly improved the sensitivity and specificity and reduced the number of false-negative and false-positive findings.
Authors: Sebastian Ziegelmayer, M.D., of the Technical University of Munich in Munich, Germany, is the corresponding author.
To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
(doi:10.1001/jamanetworkopen.2022.53370)
/Public Release. This material from the originating organization/author(s) might be of the point-in-time nature, and edited for clarity, style and length. Mirage.News does not take institutional positions or sides, and all views, positions, and conclusions expressed herein are solely those of the author(s).View in full here.
