Machine-learning techniques have identified variability among the brain networks of children, which could help inform personalized treatments for psychiatric disorders.
Browsing: artificial intelligence
A machine-learning algorithm may be able to predict individual treatment response to sertraline, a commonly prescribed antidepressant medication.
Researchers have developed an artificial intelligence algorithm that can identify molecular patterns specific to Alzheimer’s and Huntington’s disease. This study could lead to a more individualized approach to neurodegenerative disease treatment.
Applying artificial intelligence to a healthcare setting for patients with TBI: an interview with Payam Barnaghi
In this video, Payam Barnaghi (University of Surrey, UK) discusses the application of artificial intelligence and neurotechnology into a healthcare setting for patients with traumatic brain injury.
In this ‘Ask the Experts’ column, two thought leaders from the field of artificial intelligence have convened to discuss the current use of artificial intelligence in neuroscience, their ethical considerations and potential future directions in the field.
An advanced optical imaging technique coupled with an artificial intelligence algorithm has been demonstrated to accurately detect brain tumors, according to a recent study.
Scientists have discovered that an artificial intelligence program, coupled with the chemical analysis of blood samples, could speed up brain tumor diagnosis.
Researchers have detected brain waves indicative of ‘hidden consciousness’ in patients with traumatic brain injury just days after their injury.
In a revolutionary approach, Cognetivity (London, UK) have created a new test for detecting dementia and Alzheimer’s disease by focusing on image cognition and the brain’s ability to analyze visual information.
For the first time, researchers have revealed that autism could result from mutations in the noncoding regions of the human genome.