Abstract: Systems and methods for detecting aortic aneurysms using ensemble based deep learning techniques that utilize numerous computed tomography (CT) scans collected from numerous de-identified patients in a database. The system includes software that automates the analysis of a series of CT scans as input (in DICOM file format) and provides output in two dimensions: (1) ranking CT scans by risks of adverse events from aortic aneurysm, (2) providing aortic aneurysm size estimates. A repository of CT scans may be used for training of deep neural networks and additional data may be drawn from localized patient information from institutions and hospitals which grant permission.

Abstract: The present application provides a bumper assembly to be connected to a chassis bumper beam at a front of a vehicle. The bumper assembly comprises a plastic fascia; a metal reinforcement member; and a plastic reinforcement member disposed between the plastic fascia and the metal reinforcement member and connected with the plastic fascia and the metal reinforcement member. The plastic fascia, the plastic reinforcement member and the metal reinforcement member extend at a lateral direction of the vehicle.

Abstract: The present disclosure provides a bumper assembly to be connected to a chassis bumper beam at a front of a vehicle. The bumper assembly comprises a plastic fascia; a metal reinforcement member; and a plastic reinforcement member disposed between the plastic fascia and the metal reinforcement member and connected with the plastic fascia and the metal reinforcement member. The plastic fascia, the plastic reinforcement member and the metal reinforcement member extend at a lateral direction of the vehicle.