Deep learning-based detection of ascending aortic dilatation on chest radiographs: A diagnostic study

Ascending aortic dilatation (AAD) is a potentially life-threatening condition that often remains undetected until serious complications arise [1,2]. As the diameter of the ascending aorta increases the risk of rupture increases [3], but most ascending aortic aneurysms are asymptomatic at the time of diagnosis [2] until devastating consequences [4] occur

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