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Episode 8 AI in stroke

Using deep learning to predict clinical outcomes after stroke

Guest:
Prof. Dr. Susanne Wegener
Senior Leading Physician at the Stroke Centre and Head of Neurosonology and Headache units, University Hospital Zurich, Switzerland
Host:
Katrina Brown

Senior Clinical Content Manager, Springer Medicine

About 50% of stroke patients have an unfavorable outcome. Predicting outcome is challenging but is key to understanding how best to treat patients.

Prof. Susanne Wegener discusses her team’s work to develop deep learning models that outperform neurologists when predicting outcome based on imaging data alone or in combination with clinical data.

« Previous episode: A deep dive into ADAURA

Next episode: The gut microbiome and CAR T-cell therapy »

Next-generation MRI contrast agents: preparing the field (Link opens in a new window)

New MRI contrast agents are reshaping diagnostic imaging, promising lower gadolinium exposure amid evolving practice guidelines. How can you optimise contrast selection, dosing, and patient care in this rapidly advancing field?

This content is intended for healthcare professionals outside of the UK.

Independent Medical Education Grant:
  • Bayer HealthCare Pharmaceuticals Inc.
Learn more Link opens in a new window

Mini masterclass: enhancing outcomes in LGS (Link opens in a new window)

1.5 AMA PRA Category 1 Credit(s)™

These six bite-sized videos will equip you with insights into the pathophysiological processes underlying Lennox–Gastaut syndrome, the burden on patients and caregivers, and opportunities to increase diagnostic accuracy and optimize treatment strategies.

Independent Medical Education Grant:
  • Jazz Pharmaceuticals
Watch now Link opens in a new window
Image Credits
Medicine Matters podcast logo/© Springer Medizin Verlag GmbH, Abstract graphic of layered, concentric circular shapes in bright green, pink, blue, and purple on a dark blue background. The rings and segments form a complex radial pattern without text/© Springer Health+ IME, Enchancing Lennox-Gastaut Syndrome program image/© Springer Health+ IME