The Nexus of AI and Audiology: A Systematic Review on Real-Time Language Translation in AI-Powered Hearing Aid

The integration of artificial intelligence (AI) in hearing aids has revolutionized assistive technology, particularly with real-time language translation capabilities. This systematic review, following PRISMA guidelines, analyzed 42 peer-reviewed studies published between 2019-2024, evaluating machine learning, natural language processing, and neural networks in enabling accurate instant translation. Results show translation accuracy of 85-95% in optimal conditions, decreasing to 70-80% in noisy environments. User satisfaction averaged 7.8/10, with adaptation periods of 4-6 weeks. However, challenges including latency (0.5-2 seconds), battery life constraints, and performance degradation in real-world conditions persist. Only 12% of studies exceeded 6 months duration, highlighting critical gaps in long-term outcome data. Ethical concerns regarding data privacy, algorithmic bias, and digital equity remain underexplored. This review identifies research priorities and provides a strategic development roadmap, emphasizing user-centered design, privacy-preserving technologies, and global accessibility to realize the transformational potential of AI-enabled hearing aids for enhanced communication and quality of life among hearing-impaired individuals.