Exploring the Future of Brain-Computer Interfaces in Healthcare.

Dr Dimitri Pinotsis is a theoretical neuroscientist with a PhD in Mathematics and a Masters in Theoretical Physics from the University of Cambridge. He is now a Research Affiliate at MIT and an Associate professor at the City – University of London. His research spans machine learning, the analysis of big data in neuroimaging, theoretical neurobiology and nonlinear systems in mathematical physics. In recent work, he exploits deep neural networks and hierarchical Bayesian inference to understand the causes of neurological and psychiatric disorders. As well as brain recordings to build better AI algorithms.

Dr Dimitri Pinotsis is a theoretical neuroscientist with a PhD in Mathematics and a Masters in Theoretical Physics from the University of Cambridge. He is now a Research Affiliate at MIT and an Associate professor at the City – University of London. His research spans machine learning, the analysis of big data in neuroimaging, theoretical neurobiology and nonlinear systems in mathematical physics. In recent work, he exploits deep neural networks and hierarchical Bayesian inference to understand the causes of neurological and psychiatric disorders. As well as brain recordings to build better AI algorithms.
Event Description
This Machine Medicine event brought together professionals, researchers and healthcare enthusiasts for an insightful exploration of Brain-Computer Interfaces (BCIs) in healthcare. Expert computational neuroscientist, Dr Dimitris Pinotsis, delved into the intriguing theory behind BCIs. In the Q&A that followed, attendees shared their thoughts on the topic, asked thought-provoking questions and explored the latest evidence and advancements in this remarkable field.
Moreover, Dr Jonathan O’Keeffe, Founder and CEO of Machine Medicine, talked about how computer vision-based motor assessments revolutionise healthcare assessments with data-driven and scalable approaches.
You can watch videos of both speeches by clicking on the YouTube links Below: