Areas of Artificial Intelligence Use in Audiology
During the presentation, Research Assistant Çağla Türk emphasized that rapidly developing artificial intelligence applications in health sciences have also led to a significant transformation in the field of audiology. In particular, machine learning and deep learning-based systems are increasingly being used for the early diagnosis of hearing loss, automatic evaluation of audiograms, speech-in-noise processing, and cochlear implant performance analysis. It was also stated that AI-supported algorithms, through large-scale data analysis, may provide clinicians with faster and more objective evaluation opportunities.
Smart Hearing Aids and Tele-Audiology
Current developments in hearing aid technologies were also addressed within the scope of the presentation. It was explained that AI-supported smart hearing aids can analyze environmental sounds, automatically adapt according to the user’s listening environment, improve speech intelligibility, and provide a personalized listening experience. In addition, it was emphasized that together with tele-audiology applications, artificial intelligence technologies may increase accessibility in remote assessment and rehabilitation processes.
Contribution to Clinical Processes and Future Perspective
The findings of the study demonstrated that artificial intelligence applications have the potential to improve clinical effectiveness in diagnosis, follow-up, and rehabilitation processes in audiology. However, it was emphasized that standardization procedures need to be established in order to safely and effectively integrate AI systems into routine clinical practice. Furthermore, it was noted that many current studies have been conducted with limited sample sizes, highlighting the need for large-scale, prospective, and multicenter studies to establish stronger levels of evidence.
The presentation, which was followed with great interest by the participants, concluded with evaluations regarding the future of artificial intelligence in audiology and a question-and-answer session.
