machine learning in neuroimaging

Machine learning in neuroimaging involves using algorithms to analyze brain images, such as MRI scans, to identify patterns and extract meaningful information. It enables computers to learn from data without being explicitly programmed, helping to detect differences or changes linked to neurological conditions, understand brain structure and functions, and predict outcomes. This approach accelerates research, supports diagnosis, and personalizes treatment by uncovering insights that might be difficult for humans to identify unaided. Overall, it bridges advanced data analysis with neuroscience to enhance our understanding of the brain.