The Evolution and Application of Artificial Intelligence in Rhinology : A State of the Art Review
© 2022 The Authors. Otolaryngology-Head and Neck Surgery published by Wiley Periodicals LLC on behalf of American Academy of Otolaryngology-Head and Neck Surgery Foundation..
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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:169 |
|---|---|
| Enthalten in: |
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery - 169(2023), 1 vom: 01. Juli, Seite 21-30 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Amanian, Ameen [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Artificial intelligence |
|---|
| Anmerkungen: |
Date Completed 28.06.2023 Date Revised 16.04.2024 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1177/01945998221110076 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM34307902X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM34307902X | ||
| 003 | DE-627 | ||
| 005 | 20240416232154.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1177/01945998221110076 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1377.xml |
| 035 | |a (DE-627)NLM34307902X | ||
| 035 | |a (NLM)35787221 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Amanian, Ameen |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The Evolution and Application of Artificial Intelligence in Rhinology |b A State of the Art Review |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 28.06.2023 | ||
| 500 | |a Date Revised 16.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022 The Authors. Otolaryngology-Head and Neck Surgery published by Wiley Periodicals LLC on behalf of American Academy of Otolaryngology-Head and Neck Surgery Foundation. | ||
| 520 | |a 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 | ||
| 520 | |a DATA SOURCES: Medline, Embase, CENTRAL, Ei Compendex, IEEE, and Web of Science | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a computer vision | |
| 650 | 4 | |a machine learning | |
| 650 | 4 | |a prediction | |
| 650 | 4 | |a prognosis | |
| 650 | 4 | |a rhinology | |
| 700 | 1 | |a Heffernan, Austin |e verfasserin |4 aut | |
| 700 | 1 | |a Ishii, Masaru |e verfasserin |4 aut | |
| 700 | 1 | |a Creighton, Francis X |e verfasserin |4 aut | |
| 700 | 1 | |a Thamboo, Andrew |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery |d 1982 |g 169(2023), 1 vom: 01. Juli, Seite 21-30 |w (DE-627)NLM012595721 |x 1097-6817 |7 nnns |
| 773 | 1 | 8 | |g volume:169 |g year:2023 |g number:1 |g day:01 |g month:07 |g pages:21-30 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1177/01945998221110076 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 169 |j 2023 |e 1 |b 01 |c 07 |h 21-30 | ||