Artificial Intelligence in Otolaryngology, An Issue of Otolaryngologic Clinics of North America, 1st Edition
In this issue of Otolaryngologic Clinics, guest editors Drs. Anais Rameau and Matthew G. Crowson bring their considerable expertise to the topic of Artificial Intelligence in Otolaryngology. Top experts in the field cover timely topics in the areas of Best Practices, AI Modalities, Implementation and Governance, and Subspecialty AI.
In this issue of Otolaryngologic Clinics, guest editors Drs. Anais Rameau and Matthew G. Crowson bring their considerable expertise to the topic of Artificial Intelligence in Otolaryngology. Top experts in the field cover timely topics in the areas of Best Practices, AI Modalities, Implementation and Governance, and Subspecialty AI.
Key Features
- Contains 17 relevant, practice-oriented topics including clinical data/machine learning; generative AI and otolaryngology-head and neck surgery; ethics; AI in otology and neurotology; AI in facial plastic and reconstructive surgery; AI in pediatric otolaryngology; and more.
- Provides in-depth clinical reviews on artificial intelligence in otolaryngology, offering actionable insights for clinical practice.
- Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Author Information
Edited by Anais Rameau, MD, MPhil, Assistant Professor of Otolaryngology, Sean Parker Institute for the Voice at Weill Cornell, Medicine Department of Otolaryngology - Head and Neck Surgery, Weill Cornell Medicine, New York, USA and Matthew G. Crowson, MD, MPA, MASc, Assistant Professor, Otolaryngology-Head & Neck Surgery, Massachusetts Eye & Ear, Boston, MA, USA
