AI can distinguish the difference between male and female brains

Artificial intelligence (AI) can help answer the question of whether there are differences between men's and women's brains.

Men often have a larger appearance and physique than women. However, when it comes to internal organs, typically the brain, whether there are differences between the sexes is a question that scientists are interested in.

Picture 1 of AI can distinguish the difference between male and female brains

Gender is an important factor in brain development. (Illustration).

A new study published in the US National Academy of Sciences (PNAS) journal shows that artificial intelligence (AI) can be used to distinguish between male and female brains through analyzing patterns. brain activity.

Through the application of AI, study author Srikanth Ryali and colleagues found significant and consistent differences between the sexes in certain brain regions. These differences have enormous implications for personalized medical approaches.

The study used 4-dimensional deep neural networks (stDNN) to distinguish between sexes through analysis of a series of functional magnetic resonance imaging (fMRI) data. The model has an accuracy of up to 90.21% - 91.17%, producing consistent results across assessments, thereby reflecting reliable gender differences in brain function.

Research results show that gender is an important factor in brain development, aging, and the onset and progression of mental and neurological disorders. Accordingly, women are more likely to suffer from depression, anxiety and eating disorders while conditions such as autism, attention deficit hyperactivity disorder and schizophrenia are more common in men.

The study also extended the analysis to cognitive functions, suggesting that differences between the sexes may give rise to unique cognitive and behavioral patterns.

The results of the study open new avenues for gender-specific research in neuroscience and clinical fields, thereby emphasizing the importance of gender in research on brain health and disorders. set.

Update 29 March 2024
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