Digital Innovation in Schizophrenia Assessment: Integration of AI-Powered Language Analysis and Neural Biomarkers for Enhanced Psychiatric Diagnosis. A Multi-National Validation Study of Quantitative Diagnostic Tools in Poland, Latvia, and Portugal

The aim of the project is to develop and validate a clinically applicable digital system based on natural language processing for the objective assessment of schizophrenia and to support personalized cognitive behavioral therapy, thereby improving diagnostic accuracy and patient care.
The project will begin with an assessment phase using a range of standardised schizophrenia evaluation instruments, alongside natural language processing (NLP) methods to analyse patients’ expression and language structure. This approach enables the collection of additional structured information about a patient’s condition, complementing clinical evaluation.
Based on these results, a digitally supported cognitive behavioural therapy (CBT) intervention will be developed. The project also focuses on building a digital therapeutic collaboration, where the technological solution will strengthen the connection between patient and specialist and promote patient engagement in the treatment process.