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The research focuses on the development of a dual-language (Urdu and English) digital software designed for the self-assessment and management of adult dysarthria patients. Dysarthria, a motor speech disorder resulting from neurological injury, significantly affects an individual's ability to communicate effectively.
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Current assessment tools are often clinician-dependent and predominantly available in English, limiting accessibility for non-English speakers, especially in Pakistan and other Urdu-speaking regions. This study aims to bridge that gap by creating a user-friendly, culturally relevant, and linguistically accessible software platform. The software will enable adult dysarthric patients to monitor their speech abilities, track progress, and participate more actively in their therapy process. It is expected to enhance patient autonomy, improve communication outcomes, and support speech-language pathologists in delivering more efficient care. The dual-language interface ensures broader usability, promoting inclusion and better engagement among diverse user groups in bilingual settings.
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50 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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