How can AI be applied to traumatic brain injury patients
In this interview from our sister site Neuro Central, find out about how AI is applied to patients with traumatic brain injury. Highlights include: the challenges of implementing AI neurotechnology within this setting, how machine-learning algorithms can predict post-concussive symptoms in patients and the ethical implications surrounding AI neurotechnology.
The complexity and increasing availability of data in healthcare environments has created a paradigm shift for 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), Neuro Central 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.
