Altivity | Outcomes Driven Innovation in Stroke
Globally, stroke remains one of the leading causes of mortality and morbidity posing a significant public health challenge. Recent years have been transformative for stroke treatment and clinical practice dueto the landmark thrombectomy trials. Yet amid all the change, acute stroke management has one constant, a need to treat the patient as quickly as possible.
Join our panel of experts to learn how AI and the Automation Platform are empowering them to meet that need. The Automation Platform is an AI-based, zero-click solution that uses deep learning technology to streamline your workflow for fast, actionable results every time. From scanner to clinical decision, you’ll be supported by innovative deep learning technologies that process and deliver images foraccurate triage, worklist prioritization and treatment decisions.
Discover how AI is enabling quick, confident clinical decisions to drive better patient management in acute stroke care.
Speaker
Prof. Stefan Niehues
Radiologist, Deputy Director, and Senior Physician
Campus Benjamin Franklin at Charité – Universitätsmedizin Berlin, Germany
Prof. Peter Chang
Assistant Professor-in-Residence, “Department of Radiological Sciences”
Co-Director, Center for Artificial Intelligence in Diagnostic Medicine (CAIDM)
Prof. Kenneth V. Snyder
Neurosurgeon
State University of New York at Buffalo Buffalo, New York, USA
Dr. Benoît Doche de Laquintane
Radiologist
Medical Imaging group IMAGIR Bordeaux, FranceCourse Information
By the end of this session, delegates will
- Discover how AI is enabling quick, confident clinical decisions to drive better patient management in acute stroke care.
This educational talk was created in March 2022. All information contained in this session was correct at the time of distribution.
Disclaimer: Appearing on the Medical Imaging Academy does not represent a commercial partnership or interest from the speaker. The views herein do not represent the views of Canon Medical Systems Ltd.
