Artificial intelligence solutions in Parkinson therapy

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disease in Europe [1]. PD requires a high-frequency therapy offer for a sustainable improvement of the communicative abilities. To improve speech therapy care in PD, technology-based therapies can be useful, essential in these digital health applications is that objective feedback is available for correct exercise performance. The "Speech" application from the ISi-Speech research project [1] provides technology-based training for the therapy of dysarthria in PD. The overall goal of the application is to improve speech functions and thus promote participation and quality of life for those affected. Methodologically, a strictly user-centered implementation approach is planned. Therapists* implement ISi-Speech into an existing evidenced based therapy format. Assumptions about the development of digital maturity levels among therapists*, best practice models for inpatient and outpatient therapy settings and implementation strategies will be identified through the feasibility study. The intervention is part of a public project of the Federal Ministry of Education and Research in Germany. The project humAine - human centered AI network focuses on different areas of business and healthcare. This specific use case is about the implementation of AI in speech therapy with the aim to sustainably simplify the workflow, identify competency strategies and identify best-practice models.

Keywords: Parkinson’S Disease/Dysarthria, Technology-Based Therapies, Implementation Strategies

DOI: 10.54941/ahfe1001037