Anglia Ruskin University, Chelmsford, Southend University Hospital
Professor Grunwald is the Consultant Neuroradiologist and Associate Medical Director at Southend University and Director Neuroscience at Anglia Ruskin University School of Medicine. She has published > 150 papers and several book chapters, mainly in the field of neurointervention and pre-hospital care. She has specific expertise in neuro interventional procedures.
Prof. Grunwald has an international reputation as an expert in implementing acute stroke services. She was in the team that invented and implemented the first Mobile Stroke Unit (Lancet Neurology 2012 and 2017). She is the VP of the World Federation for Interventional Stroke Treatment (WIST) and has trained interventionalists and teams throughout the world. Prof. Grunwald is Co-founder and Medical Director of the life science company Brainomix, an award winning (finalist European Academic Enterprise Awards (ACES)), ISO13485 and ISO9001 certified start-up company of Oxford University, which specialises in medical imaging biomarkers. She runs conferences (www.ICCAonline.org) and hands-on training courses on catheter interventions, aneurysms and interventional stroke treatment. In her spare time she enjoys sailing and competition aerobatics.
How To Set Up An Interventional Stroke Service Using AI and High-Fidelity Simulation
The focus will be on training of interventional skills using high fidelity Simulation and the use of artificial intelligence (AI) to enable quick and accurate assessment of ischemic stroke damage to facilitate patient selection. Prof. Grunwald will draw on her extensive experience in interventional procedures and also share her experience in using Mobile Stroke Units for Triage of patients.
EVEN MORE SEMINARS
Dr Claudia Lindner The University of Manchester
BoneFinder®: a software tool to enable automated bone shape analyses
Marianthi-Vasiliki Papoutsaki Centre for Medical Imaging, University College of London
Harmonisation of prostate multiparametric MRI protocols across different sites
Dr Qaiser Malik MSE Radiology
Radiology Improvement and Transformation
Xiaohong (Sharon) Gao Middlesex University
Application of deep learning techniques to medical images for early diagnosis
Hanna-Kaisa Sihvo DVM PhD DECVP Aiforia Technologies
AI by the pathologist: from research to clinical