The Application of Artificial Intelligence to Acoustic Data in Otolaryngology

Artificial intelligence (AI), particularly deep learning, has revolutionized various fields through its ability to model complex, noisy systems with high accuracy. Driven by advancements in deep neural networks (DNNs), hardware, and data digitization, deep learning now rivals human performance in many tasks. This review focuses on the application of deep learning in otolaryngology, specifically within laryngology and otology. By leveraging digital archives of acoustic and other clinical data, these specialties are beginning to integrate DNNs to enhance patient care. We examine key studies, challenges, and the potential of AI to transform these subdisciplines.