By Eva Wairimu Mwangi, student of the Master in Clinical Audiology and Hearing Therapy

Abstract

Hearing impairment affects millions of people globally, with significant consequences on communication, education, and overall quality of life. Despite advancements in hearing technology, traditional hearing aids often fall short in noisy environments, prompting the exploration of artificial intelligence (AI) to enhance hearing aid performance. This study investigates the efficacy of AI-enhanced hearing aids, particularly focusing on their noise management capabilities and their impact on user comfort and satisfaction. Utilizing a descriptive research design and secondary data from academic journals and reports, the study aims to assess how AI technology improves the auditory experience of individuals with hearing impairments. The research evaluates the effectiveness of AI-driven noise management features in modern hearing aids, comparing user experiences with traditional devices. Key objectives include determining the reduction in background noise, improvement in speech clarity, and overall user satisfaction. Additionally, the study explores the role of remote monitoring and tele-audiology services in enhancing patient outcomes, focusing on convenience and accessibility. Findings reveal that while advanced noise management features significantly enhance user comfort and satisfaction, AI-enhanced features and remote monitoring do not demonstrate a statistically significant impact on patient outcomes. The regression analysis, with a high R-squared value of 0.863, highlights that noise management effectiveness is a critical factor in improving hearing aid performance. However, the anticipated benefits of AI integration were not fully realized, suggesting that current AI technologies may not fully address user needs. The study concludes that further research is needed to refine AI technologies and improve their integration into hearing aids. Emphasizing noise management and user-centered design can enhance hearing aid functionality and user experience. Recommendations include prioritizing advanced noise management technologies, incorporating user feedback into AI development, and enhancing remote monitoring features to provide more effective and personalized hearing solutions.

Keywords: Hearing loss, Artificial intelligence, AI-enhanced hearing aids, hearing aid performance, noise management, remote programming, tele audiology.

Download the full Research Work: Mwangi, E. (2024). Importance of Artificial Intelligence and Advanced Hearing technology on people living with Hearing Impairment. SAERA