The Future Of AI In The Medical Field | How AI Detects Brain Abnormalities That Can Cause Epilepsy
0Nowadays, if there is a field where people can understand and support the use of Advance Technology, such as Machine Learning and Artificial Intelligence is that of Medicine. Then, we can all come together and agree on the need for research and development of solutions that can save and improve our lives. Yet, it is a complex conversation; let’s have it.
In this episode, we talk with Dr. Konrad Wagstyl, a Sir Wellcome Research Fellow at the Wellcome Centre for Human Neuroimaging, UCL. As part of this work, he co-leads the Multicentre Epilepsy Lesion Detection project, an open science collaboration to develop machine learning algorithms to automatically detect subtle focal cortical dysplasias in patients worldwide.
While talking about his specific field of research, we decided to zoom out and widen the conversation to the more extensive application of advanced technology, algorithms, AI, ML, and the need for a large amount of data to get results.
How are privacy, complexity, contextualization, and information sharing playing a role in the research, development, and application of such advancement in the field of Medicine?
This and so much more in this Redefining Technology Conversation.
Enjoy!
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Guest
Konrad Wagstyl
Sir Henry Wellcome Research Fellow at the Wellcome Centre for Human Neuroimaging [@WCHN_UCL]
On LinkedIn | https://www.linkedin.com/in/konrad-wagstyl-085235a2/
On Twitter | https://twitter.com/konradwagstyl
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Resources
Wellcome Centre for Human Neuroimaging: https://www.fil.ion.ucl.ac.uk/
Article about AI & epilepsy: https://theconversation.com/epilepsy-how-an-ai-algorithm-detects-related-brain-abnormalities-new-research-188610
Multicentre Epilepsy Lesion Detection project: https://meldproject.github.io/
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