公开(公告)号：US20230252631A1

公开(公告)日：2023-08-10

申请号：US18165912

申请日：2023-02-07

Applicant: MicroVention, Inc.

Inventor： Satyananda Kashyap ,  Hakan Bulu ,  Ashutosh Jadhav ,  Ronak Dholakia ,  Amon Y. Liu ,  Hussain S. Rangwala ,  William R. Patterson ,  Mehdi Moradi

IPC: G06T7/00 ,  G16H30/40 ,  G16H50/20 ,  G06T7/11

CPC classification number: G06T7/0012 ,  G16H30/40 ,  G16H50/20 ,  G06T7/11 ,  G06T2207/20084 ,  G06T2207/30101

Abstract: A neural network apparatus receives, as input from a user device, digital imaging information and the clinical information for an aneurysm patient and generates, using a neural network trained for aneurysm outcome prediction, the digital imaging information, and the clinical information, an outcome prediction for at least one intrasaccular implant device for implant in an aneurysm sac identified in the digital imaging information and having a highest predicted likelihood of complete occlusion of the aneurysm sac from a set of potential treatment devices. The apparatus is further configured to output, for display on a device, an identification of the at least one intrasaccular implant device and the outcome prediction for each of the at least one intrasaccular implant device.