Workshop on AI, NLP, and Health & Medicine: Bridging Research and Clinical Practice
Hosted by the University of Exeter, in collaboration with the University of Sheffield and Federal University of Rio Grande do Norte
An Institute for Data Science and Artificial Intelligence workshop | |
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Date | 19 September 2024 |
Time | 9:00 to 17:00 |
Place | Building:One Matrix Lecture Theatre University Of Exeter Business School (Rennes Drive, Exeter, Devon, EX4 4PU) |
Provider | Institute for Data Science and Artificial Intelligence |
Event details
Artificial Intelligence (AI) and Natural Language Processing (NLP) are revolutionizing healthcare with profound implications for research and clinical practice. This workshop, supported by the Newton Fund and the Royal Society, brings together leading AI, NLP, and health experts from Brazil and the UK to explore cutting-edge advancements in the field.
The workshop will address how modern AI and language processing models are being developed and applied in health and medicine, focusing on practical impact in clinical settings. Experts from academia and industry will discuss innovations, challenges, and the path forward for integrating these technologies into real-world healthcare systems. The Brazilian perspective will also be highlighted, discussing how the public health system collaborates with private providers and government agencies to implement AI-driven solutions.
Key speakers include Prof. Li Su (University of Cambridge, University of Sheffield), Dr. Sebastian Ruder (Cohere), Prof. Ed Watkins (University of Exeter), Rodrigo Wilkens (University of Exeter), and Prof. Renan Moioli and Prof. Ana Isabela Sales (Federal University of Rio Grande do Norte, Brazil), who will cover a range of topics, from AI in neuroscience to the challenges of multilingual large language models in clinical environments.
This event represents a key opportunity for researchers, healthcare professionals, and policymakers to engage in dialogue and collaboration, driving forward the use of AI in healthcare to improve patient outcomes.
More information is available on the dedicated website; registration is not required.
For those who want to join the Hybrid Event, the link to the Teams webinar is available here.
Location:
Building:One Matrix Lecture Theatre