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AI in Health: Research, Practice & Innovation Webinar
28 January 2021, 1:00 pm–2:00 pm
AI is a high-impact technology that has the potential to revolutionise all areas of medicine - from patient care to data analysis and surgery. Join this panel discussion with Dr Danielle Belgrave (Microsoft) and Prof Parashkev Nachev (UCL) on AI in Health, where they will discuss a few difficult truths about what complex modelling can, and cannot do in healthcare, and the right path to its application in the domain, with some focus on how we can ensure trustworthy and fair AI systems for healthcare.
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
Emre Kazim
Join this exciting AI Insights webinar to hear more from our expert panel on AI and Health.
About the Speakers
Danielle Belgrave
Principal Research Manager at Microsoft
Danielle Belgrave is Principal Research Manager at Microsoft in the Healthcare Intelligence group at Microsoft Research, in Cambridge (UK) where she works on Project Talia, which explores how a human-centric approach to machine learning can meaningfully assist in the detection, diagnosis, monitoring, and treatment of mental health problems. Dr Belgrave’s research focuses on integrating medical domain knowledge, probabilistic graphical modelling and causal modelling frameworks to help develop personalized treatment and intervention strategies for healthcare.
More about Danielle BelgraveParashkev Nachev
Professor of Neurology, UCL Queen Square Institute of Neurology at UCL
Parashkev Nachev is a Professor of Neurology at the UCL Queen Square Institute of Neurology, and Honorary Consultant Neurologist at the National Hospital for Neurology and Neurosurgery, Queen Square. His High-Dimensional Neurology Group is funded by the Wellcome Trust to develop novel computational methods in the domain of neurology for predicting clinical outcomes and guiding therapy with individual-level precision.
More about Parashkev NachevAdriano Koshiyama
Research Fellow, UCL Computer Science at UCL
Dr Adriano Koshiyama is a Research Fellow within Computer Science at University College London. His interests include Machine Learning, Finance, and Algorithmic Assessment. He is a specialist in designing trustworthy autonomous systems.
More about Adriano Koshiyama