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Neuroimaging Scoring Tools to Differentiate Inflammatory Central Nervous System Small-Vessel Vasculitis: A Need for Artificial Intelligence/Machine Learning?—A Scoping Review.

Authors :
Damer, Alameen
Chaudry, Emaan
Eftekhari, Daniel
Benseler, Susanne M.
Safi, Frozan
Aviv, Richard I.
Tyrrell, Pascal N.
Source :
Tomography: A Journal for Imaging Research; Oct2023, Vol. 9 Issue 5, p1811-1828, 18p
Publication Year :
2023

Abstract

Neuroimaging has a key role in identifying small-vessel vasculitis from common diseases it mimics, such as multiple sclerosis. Oftentimes, a multitude of these conditions present similarly, and thus diagnosis is difficult. To date, there is no standardized method to differentiate between these diseases. This review identifies and presents existing scoring tools that could serve as a starting point for integrating artificial intelligence/machine learning (AI/ML) into the clinical decision-making process for these rare diseases. A scoping literature review of EMBASE and MEDLINE included 114 articles to evaluate what criteria exist to diagnose small-vessel vasculitis and common mimics. This paper presents the existing criteria of small-vessel vasculitis conditions and mimics them to guide the future integration of AI/ML algorithms to aid in diagnosing these conditions, which present similarly and non-specifically. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23791381
Volume :
9
Issue :
5
Database :
Complementary Index
Journal :
Tomography: A Journal for Imaging Research
Publication Type :
Academic Journal
Accession number :
173336333
Full Text :
https://doi.org/10.3390/tomography9050144