Open AccessThe Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review
Author(s) -
Amanian Ameen,
Heffernan Austin,
Ishii Masaru,
Creighton Francis X.,
Thamboo Andrew
Publication year - 2023
Publication title -
otolaryngology–head and neck surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.232
H-Index - 121
eISSN - 1097-6817
pISSN - 0194-5998
DOI - 10.1177/01945998221110076
Subject(s) - rhinology , artificial intelligence , medicine , medline , medical physics , computer science , multidisciplinary approach , medical education , otorhinolaryngology , surgery , social science , sociology , political science , law
Objective To provide a comprehensive overview on the applications of artificial intelligence (AI) in rhinology, highlight its limitations, and propose strategies for its integration into surgical practice. Data Sources Medline, Embase, CENTRAL, Ei Compendex, IEEE, and Web of Science. Review Methods English studies from inception until January 2022 and those focusing on any application of AI in rhinology were included. Study selection was independently performed by 2 authors; discrepancies were resolved by the senior author. Studies were categorized by rhinology theme, and data collection comprised type of AI utilized, sample size, and outcomes, including accuracy and precision among others. Conclusions An overall 5435 articles were identified. Following abstract and title screening, 130 articles underwent full‐text review, and 59 articles were selected for analysis. Eleven studies were from the gray literature. Articles were stratified into image processing, segmentation, and diagnostics (n = 27); rhinosinusitis classification (n = 14); treatment and disease outcome prediction (n = 8); optimizing surgical navigation and phase assessment (n = 3); robotic surgery (n = 2); olfactory dysfunction (n = 2); and diagnosis of allergic rhinitis (n = 3). Most AI studies were published from 2016 onward (n = 45). Implications for Practice This state of the art review aimed to highlight the increasing applications of AI in rhinology. Next steps will entail multidisciplinary collaboration to ensure data integrity, ongoing validation of AI algorithms, and integration into clinical practice. Future research should be tailored at the interplay of AI with robotics and surgical education.