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Transformer Model Detects Schizophrenia from EEG Spectrograms
A new arXiv paper presents a transformer-based framework that analyzes EEG signals converted into spectrogram form to identify schizophrenia. The approach aims to support diagnosis, which currently relies mainly on clinical evaluation, by using a non-invasive brain-activity measurement. The work is a preprint and has not yet been validated in clinical settings.