Brain surgery: predicting patient outcomes

Artificial Intelligence is increasingly being used to make real inroads in the medical field.  Now neurologists from the Medical University of South Carolina (MUSC) have used artificial intelligence to develop a technique which may eventually help both patients and doctors weigh up the pros and cons of using brain surgery to treat debilitating seizures caused by epilepsy.

Although the number of antiepileptic medications has increased over the years it is still the case that a third of people with epilepsy will not have their seizures controlled with medication (refractory epilepsy).  Not only does uncontrolled epilepsy mean a poorer quality of life, but it comes with real risks of injury, and at its most extreme even sudden death.

For some of these patients surgery may be an option, but this too comes with its risks, which understandably deter some patients from ‘going under the knife’.  In addition, only two thirds of patients who do undergo brain surgery will achieve seizure freedom.  The technique developed by the MUSC researchers significantly increased the accuracy in predicting patient outcomes following surgery over current methods used.

To read more about this research please use the link here:

 

 

 

 

 

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