Aphasia Type

Aphasia, a language disorder often caused by stroke, presents significant challenges in diagnosis and assessment due to its variability and the time-consuming nature of traditional methods. Current research focuses on developing automated tools for aphasia detection and characterization using machine learning, particularly deep learning models like convolutional neural networks and graph neural networks, applied to various data modalities including EEG, fMRI, and speech recordings. These advancements aim to improve the efficiency and accuracy of aphasia diagnosis, subtype classification (e.g., Broca's, Wernicke's), and severity assessment, ultimately leading to more timely and effective interventions for patients.