Abstract: The present invention relates to methods and systems for brain sex phenotype score prediction according to application of artificial intelligence algorithms to scalp electroencephalography data. Whether male- or female-born, each person does not necessarily abide by biologically predetermined sex for the brain. The human brain is sexually dimorphic, which matters when a decision on mental health and treatment selection is made. A brain sex phenotype score is introduced to address the need to measure the current brain sex. The score estimation method relies on the deep learning algorithm that integrates the feature extraction and classification processes into a single automated architecture. The method uses novel algorithms for scalp electroencephalogram data augmentation and channel rolling, allowing the claimed network to be more precise and converge faster. A SAAS-based framework for brain sex phenotype score calculation is disclosed in one or more embodiments.