Authors: Sharon Salt, Senior Editor
The complexity and increasing availability of data in healthcare environments has created a paradigm shift for artificial intelligence (AI) applications to be utilized in clinical settings. Coupled with the rapid development of big data-analytic methods, AI has the potential to unlock important clinical information within the large amounts of data obtained, which in turn could assist with clinical decision making.
At the Frontiers in Traumatic Brain Injury (TBI) conference (16 September 2019, London, UK), we had the pleasure of speaking with Payam Barnaghi (University of Surrey, UK) to find out more about how neurotechnology and AI are being applied to a healthcare setting in relation to TBI. Payam also discusses the ethical implications surrounding these neurotechnologies in a healthcare setting and what advancements he’s looking forward to most.
Questions for Payam Barnaghi:
00:18 – How is neurotechnology and artificial intelligence being used in healthcare to benefit patients with TBI?
01:42 – What are the challenges associated with implementing neurotechnology in this setting?
03:03 – Is there potential for machine-learning algorithms to predict post-concussive symptoms in patients? What work is currently being done around this?
04:41 – What are the ethical implications surrounding neurotechnology in a healthcare setting?
05:53 – Lastly, what advancements are you looking forward to most in the field?
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The opinions expressed in this interview are those of the interviewee and do not necessarily reflect the views of Neuro Central or Future Science Group.