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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.
Damer, Alameen; Chaudry, Emaan; Eftekhari, Daniel; Benseler, Susanne M; Safi, Frozan; Aviv, Richard I; Tyrrell, Pascal N.
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  • Damer A; Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada.
  • Chaudry E; Department of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
  • Eftekhari D; Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada.
  • Benseler SM; Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada.
  • Safi F; Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.
  • Aviv RI; Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada.
  • Tyrrell PN; Department of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Tomography ; 9(5): 1811-1828, 2023 10 02.
Article en En | MEDLINE | ID: mdl-37888736
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vasculitis / Inteligencia Artificial Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Tomography Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vasculitis / Inteligencia Artificial Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Tomography Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza