Program

• Deep Learning Used for Detection and Quantification of Hemorrhage on Non-Contrast CT - Prof. Peter Chang
• ^AUTOStroke Used in Clinical Practice at GVI - Prof. Kenneth Snyder
• Faster Workflow and Improved Diagnostic Confidence in Stroke Follow-up with MR DLR - Dr. Benoît Doche de Laquintane
• Live Q&A

Why should you attend?
Discover how AI is enabling quick, confident clinical decisions to drive better patient management in acute stroke care.

Certificate*: All delegates will receive a certificate of attendance.
* Note: Full name entered by joining the live webinar will be used to generate your name on the attendance certificate.

Moderator: Prof. Stefan Niehues, MD, MHBA
Radiologist, Deputy Director and Senior Physician
Campus Benjamin Franklin at Charité – Universitätsmedizin
Berlin, Germany

The focus of Prof. Niehues as deputy clinic director is on the management, organization and further development of radiology at the Benjamin Franklin campus of the Charité-Universitätsmedizin Berlin.
In addition, he is the contact person for "Computed Tomography" area as well as for interventions, staff, teaching, cardiological imaging and oncological studies.

Speaker: Prof. Peter Chang, MD
Assistant Professor-in-Residence, "Department of Radiological Sciences
Co-Director, Center for Artificial Intelligence in Diagnostic Medicine (CAIDM)

Dr. Peter Chang is co-director of the Center for Artificial Intelligence in Diagnostic Medicine and is assistant professor-in-residence at the Radiological Sciences School of Medicine at the University of California, Irvine. He is also co-director of Precision Health through Artificial Intelligence (PHAI) School of Medicine at the university. His research interests include development, validation, and clinical deployment of AI algorithms, as well as standardizing and evaluating high-quality datasets.

Presentation title: Advancing Stroke Triage with Artificial Intelligence
In this presentation, we will highlight the application of deep learning artificial intelligence to the stroke imaging triage pathway. Specific triage decisions include the detection of acute intracranial hemorrhage, localization of proximal large vessel occlusion and characterization of the ischemic core with both ASPECTS and CT perfusion. Key implementation considerations including CMS reimbursement as well as value to the radiology workflow will be emphasized.

Speaker: Prof. Kenneth V. Snyder, MD, PhD, FAANS
Neurosurgeon
State University of New York at Buffalo
Buffalo, New York, USA

Dr. Kenneth V. Snyder is a neurosurgeon and associate Professor in Buffalo, New York and is affiliated with Buffalo General Medical Center. He has special interests and expertise in physiological imaging of the brain and its use in the evaluation and management of acute stroke patients, as well as all endovascular techniques for acute stroke intervention for both extracranial and intracranial vascular occlusive disease.
Active research interests include use of CT Perfusion (CTP) for acute stroke management, application of perfusion imaging on table angiography, glasses free 3D imaging in both the operating room and endovascular suite, as well as basic science research on the role of mechanosensitive ion channels in both aneurysm formation and vasospasm.

Presentation title: ^AUTOStroke Used in Clinical Practice at GVI
Prof. Snyder will discuss the current AHA/ASA guidelines for stroke treatment specifically related to mechanical thrombectomy and Perfusion Imaging. Prof. Snyder will share the latest results of the ^AUTOStroke Automation platform powered by Altivity. We have multiple peer-review publications comparing results from multiple vendors using the same Dicom Data sets. He will share cutting-edge cases and advances in stroke treatment and describe the latest entire AI stroke platform for patient care.

Speaker: Dr. Benoît Doche de Laquintane, MD
Radiologist
Medical Imaging group IMAGIR
Bordeaux, France

Dr. Benoît Doche de Laquintane is active in Neuroradiology, and in clinical applications of new sequences in the field of stroke, epilepsy and neuroinflammatory diseases. He is collaborating at a monthly multidisciplinary meeting in Neuroinflammatory diseases at the Bordeaux University Hospital.

Presentation title: Faster Workflow and Improved Diagnostic Confidence in Stroke Follow-up with MR DLR
The aim of the presentation is to give an introduction in techniques of acceleration such as Compressed Sensing (CS) and Deep Learning Reconstruction (DLR). To show how it can easily be adopted in clinical practices and improve routine examinations in for example the field of neurovascular imaging and stroke diagnostic, including follow-up outside a stroke center. Some clinical examples of Stroke examinations with CS and DLR will be discussed to show the improved resolution with DLR.