Developed by NP-İSTANBUL Hospital in collaboration with Üsküdar University, the BraiNP model leverages GPU-supported cloud computing to preprocess EEG and fMRI signals, extracting features with deep learning for high-accuracy classification and treatment-response predictions across multiple psychiatric conditions.

Key points

• Integration of high-resolution EEG and fMRI data via GPU-accelerated preprocessing and deep learning algorithms.
• Classification and treatment response prediction for diverse psychiatric disorders with high accuracy in double-blind validation.
• International patent-pending status secures global recognition and facilitates routine clinical adoption at NP-İSTANBUL Hospital.

Why it matters: This AI-driven BraiNP model promises earlier, personalized psychiatric interventions, improving diagnostic accuracy and treatment outcomes beyond conventional methods.