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02-01-2024 | Cerebral Ischemia | Podcast

Episode 8

AI in stroke

Using deep learning to predict clinical outcomes after stroke

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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 »

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Artificial Intelligence in Healthcare rotated-square

How can you integrate PET into your practice? (Link opens in a new window)

PET imaging is playing an increasingly critical role in managing AD. Our expert-led program will empower you with practical strategies and real-world case studies to effectively integrate it into clinical practice.

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

Supported by:
  • Lilly
Developed by: Springer Healthcare IME
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Keynote series | Spotlight on menopause

Menopause can have a significant impact on the body, with effects ranging beyond the endocrine and reproductive systems. Learn about the systemic effects of menopause, so you can help patients in your clinics through the transition.   

Prof. Martha Hickey
Dr. Claudia Barth
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Developed by: Springer Medicine
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