Background: Aortic dissection (AD) is frequently associated with abnormalities in
electrocardiographic finding s. Advancements in medical technology present an opportunity …

Background Chest pain is the most common symptom of aortic dissection (AD), but it is often
confused with other prevalent cardiopulmonary diseases. We aimed to develop deep …

Background: The identification of aortic dissection (AD) at baseline plays a crucial role in
clinical practice. Non-contrast CT scans are widely available, convenient, and easy to …

Aortic dissection is one of the most clinical-challenging and life-threatening cardiovascular
diseases associated with high morbidity and mortality. Aortic dissection requires fast …

Objectives To develop a deep learning–based algorithm to detect aortic dissection (AD) and
evaluate the diagnostic ability of the algorithm compared with those of radiologists. Methods …

Acute aortic syndrome and in particular aortic dissection (AAD) persists as a cause of
significant morbidity and mortality despite improvements in surgical management. This …

Background Acute aortic dissection (AD) represents a diagnostic conundrum. Validated
algorithms are particularly needed to identify patients where AD could be ruled out without …

Background: Acute aortic dissection is a potentially fatal cardiovascular disorder associated
with high mortality. However, current predictive models show a limited ability to efficiently …

Acute thoracic aortic dissection is a life-threatening disease, in which blood leaking from the
damaged inner layer of the aorta causes dissection between the intimal and adventitial …

Background: To evaluate the diagnostic accuracy and clinical utility of the acute aortic
dissection detection risk score (ADD-RS) alone or with D-dimer as a screening test to …