All patients surviving an acute aortic dissection require continued lifelong surveillance of
their diseased aorta. Late complications, driven predominantly by chronic false lumen …

Image classification is probably the most fundamental task in radiology artificial intelligence.
To reduce the burden of acquiring and labeling data sets, we employed a two-pronged …

In 2020, the US Food and Drug Administration (FDA) reviewed and authorized over 60
artificial intelligence (AI)-enabled devices across a variety of medical fields, including …

Introduction and objectives Artificial intelligence (AI) made it achievable that aortic dilation
could be measured in CT images indirectly, while aortic diameter (AD) has the certain …

Deep reinforcement learning (DRL) has been utilized in numerous computer vision tasks,
such as object detection, autonomous driving, etc. However, relatively few DRL methods …

Aortic dissection is an acute condition of the aorta. It typically starts with an intimal tear and
continues with the separation of the aortic wall layers. This situation typically leads to the …

This chapter provides an introductory summary of recent advancements in deep learning
and its role in modern computer-aided diagnosis and treatment systems. The chapter …

Automatic segmentation of aortic true lumen based on deep learning can save the time for
diagnosis of aortic dissection. However, fuzzy boundary, small true lumen region, and high …

Aortic dissection is a life-threatening condition caused by the abrupt formation of a
secondary blood flow channel within the vessel wall. Patients surviving the acute phase …

Abstract Machine learning (ML) and deep learning (DL) algorithms have recently gained
traction in the field of aortic imaging for their potential to provide novel insights and to …