Researchers from QIMR Berghofer Institute, together with Finnish colleagues, have created a non-invasive application based on artificial intelligence (AI) that monitors a child’s brain activity during sleep and creates a “brain growth map”.
The development is based on electroencephalogram (EEG), which measures the electrical activity of the brain. Machine learning algorithms were applied to data from 2,000 children in Finland and Australia.
Project leader Dr. According to Nathan Stevenson, the new tool will allow doctors to diagnose brain problems earlier, which will allow for more effective treatment and an individual approach to each child.
More than 10% of children worldwide have clinically significant neurodevelopmental delays.
One of the authors of the study, Dr. Karthik Iyer states that the tool they use maps the child’s neurodevelopment by comparing the brain age with the actual brain age and allows them to monitor brain health.
Source: Ferra
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