Comparing Audiological Outcomes of Conventional and AI-Upgraded Cochlear Implant Speech Processors

Area of Science:

• Audiology
• Medical Technology
• Artificial Intelligence in Healthcare

Background:

• Artificial intelligence (AI) is increasingly integrated into healthcare to enhance patient care and satisfaction.
• AI offers potential benefits in hearing rehabilitation, including improved cochlear implant electrode placement and speech processing.
• Cochlear implantation technology is evolving with AI integration for advanced auditory support.

Purpose of the Study:

• To compare audiological outcomes between conventional and AI-enabled cochlear implant speech processors.
• To evaluate user performance and satisfaction levels with both types of speech processors.
• To assess the impact of AI upgrades on hearing rehabilitation in pediatric patients.

Main Methods:

• A study involving children who upgraded to AI-enabled cochlear implant speech processors at a tertiary care center.
• Audiological outcomes were assessed using Aided Audiometry, Categories of Auditory Perception (CAP) Score, and Speech Intelligibility Rating (SIR) scale.
• Comparison between pre-upgrade (conventional) and post-upgrade (AI-enabled) speech processor performance was conducted.

Main Results:

• Mean CAP scores were comparable: 11.58 (conventional) vs. 11.94 (AI-enabled).
• Mean SIR scores were also similar: 4.5 (conventional) vs. 4.6 (AI-enabled).
• AI-enabled processors demonstrated superior user satisfaction regarding sound quality, listening in noise, and connectivity.

Conclusions:

• Conventional and AI-enabled cochlear implant speech processors yield comparable audiological results.
• AI technology significantly improves user satisfaction, sound quality, and connectivity features.
• AI-powered features like auto-switching and enhanced signal-to-noise ratio offer distinct advantages in hearing rehabilitation.