Hearing loss significantly affects communication, making accurate audiometry testing essential for diagnosis and treatment. Traditional speech audiometry (SA) assessments, which measure a patient’s ability to recognize and comprehend speech, are time-consuming and resource-intensive, limiting accessibility in clinical practice. However, a new study,<a href="https://doi.org/10.3390/app15063071" target="_blank" rel="nofollow noopener noreferrer"> "Development and Comparison of Machine Learning and Deep Learning Models for Speech Audiometry Prediction,"</a> published in <em>Applied Sciences (2025)</em>, explores how AI can automate and improve speech audiometry testing.
About the Author
