Sage Otolaryngology

Editor in Chief Cecelia E. Schmalbach, MD, MSc, is joined by senior author Diana N. Kirke, MD, MPhil, and Associate Editor Lee M. Akst, MD, to discuss the potential for deep learning models to detect voice disorders as outlined in the paper “The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review” which published in the June 2024 special issue of Otolaryngology–Head and Neck Surgery. They compare the accuracy of different models and inputs and ponder the possibility of real-world implentation. Click here to read the full article.