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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610796PMC
http://dx.doi.org/10.3390/tomography9050144DOI Listing

Publication Analysis

Top Keywords

small-vessel vasculitis
16
scoring tools
8
artificial intelligence/machine
8
vasculitis common
8
presents existing
8
neuroimaging scoring
4
tools differentiate
4
differentiate inflammatory
4
inflammatory central
4
central nervous
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!