Clinical Validation and Extension of an Automated, Deep Learning–Based Algorithm for Quantitative Sinus CT Analysis-Reference-Cited by-同舟云学术

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Clinical Validation and Extension of an Automated, Deep Learning–Based Algorithm for Quantitative Sinus CT Analysis

Published:2022-09 Issue:9 Volume:43 Page:1318-1324
ISSN:0195-6108
Container-title:American Journal of Neuroradiology
language:en
Short-container-title:AJNR Am J Neuroradiol

Author:

Massey C.J.^ORCID,Ramos L.^ORCID,Beswick D.M.^ORCID,Ramakrishnan V.R.^ORCID,Humphries S.M.^ORCID

Funder

American Academy of Otolaryngology-Head and Neck Surgery

National Institute on Deafness and Other Communication Disorders

Publisher

American Society of Neuroradiology (ASNR)

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

Reference26 articles.

1. Trends in otolaryngologic utilization of computed tomography for sinonasal disorders

2. International consensus statement on allergy and rhinology: rhinosinusitis 2021

3. European Position Paper on Rhinosinusitis and Nasal Polyps 2020

4. Clinical Practice Guideline

5. Radiologic reporting for paranasal sinus computed tomography: A multi-institutional review of content and consistency

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1. Multi‐institutional validation of an AI‐based sinus CT analytic platform with olfactory assessments;International Forum of Allergy & Rhinology;2024-07-12

2. Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis;BMC Medical Imaging;2024-06-10

3. Surgical Navigation in the Anterior Skull Base Using 3-Dimensional Endoscopy and Surface Reconstruction;JAMA Otolaryngology–Head & Neck Surgery;2024-04-01

4. Imaging of chronic rhinosinusitis with nasal polyps in the era of biological therapies;Current Opinion in Allergy & Clinical Immunology;2024-02-12

5. Blood Eosinophil Percentage and Improved Sinus CT Score as Diagnostic Tools for ECRS;OTO Open;2024-01

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