Multi‐institutional validation of an AI‐based sinus CT analytic platform with olfactory assessments-Reference-Cited by-同舟云学术

Multi‐institutional validation of an AI‐based sinus CT analytic platform with olfactory assessments

Author:

Massey Conner J.¹^ORCID,Humphries Stephen M.²^ORCID,Mace Jess C.³^ORCID,Smith Timothy L.³^ORCID,Soler Zachary M.⁴,Ramakrishnan Vijay R.⁵^ORCID

Affiliation:

1. Department of Otolaryngology–Head & Neck Surgery University of Utah School of Medicine Salt Lake City Utah USA

2. Department of Radiology National Jewish Health Denver Colorado USA

3. Department of Otolaryngology–Head & Neck Surgery Oregon Health Sciences University Portland Oregon USA

4. Department of Otolaryngology–Head & Neck Surgery Medical University of South Carolina Charleston South Carolina USA

5. Department of Otolaryngology–Head & Neck Surgery Indiana University School of Medicine Indianapolis Indiana USA

Abstract

Key Points

AI‐based CT sinus analysis may have advantages over visual based systems, for example, Lund–Mackay score.

Here, we show multi‐institutional validation of an AI algorithm using novel OMC classification.

Significant, robust correlations are seen between algorithm outputs and clinical outcomes.

Publisher

Wiley

Link

Reference6 articles.

2. European position paper on rhinosinusitis and nasal polyps 2020;Fokkens WJ;Rhinology,2020