It just needs the brain activity to teach the computer and AI model how brain activity evolves over space and time. The team took 80,000 scans from 40,000 subjects and trained the model to figure out ...

This combination of speech and brain activity data achieved an impressive 97.53 per cent accuracy in diagnosing depression, significantly outperforming alternative methods.