The figure shows how AI can be implemented to support otolaryngology practices. A large amount of data is generated from clinical interactions (e.g., office visits, imaging studies, surgeries, pathology), which can then be used to build machine learning algorithms, which can in turn be used to provide clinical decision support.
© Graphic by Selina Zapata Bur