Beijing Tiantan Hospital, Capital Medical University

Microsoft Technology Licensing, LLC

Beihang University

Jing Jing

Tao Liu

Yongjun Wang

Shuo Zhang

Yanhui Li

Pan Liu

Sandhya Vankamamidi

Ziyang Liu

Ayyappan Balasubramanian

Can Zheng

Lingling Ding

Zixiao Li

Gerardo Bodegas Martinez

Ali Alam

Hardeep Kohli

Zhuang Gao

John Kingsly Masilamani

Mansi Singhal

Rohan Kamath

Alka Garg

Michael Todd

Jack Pullikottil

Amanda Holcomb

Xuewei Xie

James Paul Gyarmathy

Carrie Ann Culley

A method and system for processing an intracranial large vessel image, an electronic device, and a medium are provided. The method includes: acquiring original intracranial large vessel images of a target to be identified and a sample subject; applying a cerebrovascular segmentation model to obtain cerebrovascular mask images; computing regions of interest of the cerebrovascular mask images and bounding boxes; selecting corresponding regions of interest from the original intracranial large vessel images; separately preprocessing the mask image regions of interest and the original image regions of interest to obtain images to be processed; annotating a target region in the image to be processed of the sample subject; training a convolutional neural network model with a training set to obtain a cerebrovascular occlusion classification model; and inputting the image to be processed of the target to be identified to the cerebrovascular occlusion classification model to obtain a target region identification result.

Method and system for processing intracranial large vessel image, electronic device, and medium

A regionally integrated emergency stroke unit includes an information interaction area, an imaging examination area, and a thrombolytic therapy area. A doctor workstation, a comprehensive information surveillance monitor, and a process support artificial intelligence (AI) assistant are set in the information interaction area. A test device, a first television display, a movable low-field magnetic resonance imager, and an AI-assisted decision-making system are set in the imaging examination area. The process support AI assistant performs, via voice interaction or touchscreen keying interaction, automatic inquiry and auxiliary nervous system scale scoring, and further provides real-time retrieval support for a knowledge base and a clinical guideline. The AI-assisted decision-making system is configured to assist in decision-making based on an automatic inquiry result, a scale score result, the test result, and magnetic resonance imaging results of the head and neck, to generate and display a therapy regimen.

Regionally integrated emergency stroke unit

Methods, systems, and computer programs are presented for managing access to resources using scenarios. One method includes an operation for storing first scenario data received for a first control scenario. The first scenario data comprises a control scenario identifier, a first resource, an authorization control, and a scenario trigger that defines an event that causes an activation of the first control scenario for providing access to the first resource. Further, the method includes operations for monitoring for an occurrence of the scenario trigger and detecting an occurrence of the event associated with the scenario trigger. Further, the method determines, in response to the occurrence of the event, a set of users authorized to access the first resource, including accessing the first scenario data to determine the set of users associated with the authorization control. Furthermore, access is provided to the set of users based on the determining.

Scenario-based access control

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Beijing, China

Jing Jing