From traditional to digital: Artificial intelligence, transforming ultrasound in rheumatology

IF 0.5 Q3 Health Professions

Revista Colombiana de Reumatologia Pub Date : 2026-04-01 Epub Date: 2026-02-09 DOI:10.1016/j.rcreu.2026.504872

Diego Javier Martínez Lozano , Yimy F. Medina , Adriana Beltrán-Ostos , Carlos A. Guillén-Astete

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引用次数: 0

Abstract

The use of artificial intelligence (AI) in musculoskeletal ultrasound has grown significantly in recent years, particularly in rheumatology, where standardization of diagnostic accuracy and image acquisition is essential. This article provides a narrative review of the available scientific literature on AI applications in musculoskeletal ultrasound, focusing on the recent advances in machine learning and deep learning algorithms. Sixteen studies published between 2020 and 2023 were reviewed, applying AI to anatomical segmentation and diagnostic prediction in musculoskeletal conditions, such as rheumatoid arthritis and other inflammatory diseases. Most of the reviewed studies employed deep learning algorithms to enhance the diagnostic accuracy and reduce operator-dependent variability. However, a common limitation across studies is the lack of external validation, indicating that future research should focus on confirming the generalizability of these models to larger populations and diverse clinical settings. Despite this limitation, the results suggest that AI has the potential to optimize clinical decision making and improve patient care in the context of musculoskeletal ultrasound in rheumatology.

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从传统到数字：人工智能，改变风湿病的超声

近年来，人工智能（AI）在肌肉骨骼超声中的应用显著增长，特别是在风湿病学中，诊断准确性和图像采集的标准化至关重要。本文对人工智能在肌肉骨骼超声中的应用进行了综述，重点介绍了机器学习和深度学习算法的最新进展。回顾了2020年至2023年间发表的16项研究，将人工智能应用于类风湿关节炎和其他炎症性疾病等肌肉骨骼疾病的解剖分割和诊断预测。回顾的大多数研究都采用深度学习算法来提高诊断准确性并减少操作员依赖的可变性。然而，研究的一个共同局限性是缺乏外部验证，这表明未来的研究应侧重于确认这些模型在更大人群和不同临床环境中的普遍性。尽管存在这种局限性，但结果表明，人工智能有潜力优化风湿病肌肉骨骼超声的临床决策和改善患者护理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Revista Colombiana de Reumatologia Medicine-Rheumatology

CiteScore

0.80

自引率

0.00%

发文量

期刊介绍： The Colombian Journal of Rheumatology (Revista Colombiana de Reumatología) is the official organ of the Colombian Association of Rheumatology (Asociación Colombiana de Reumatología) and the Central American, Caribbean and Andean Association of Rheumatology (Asociación Centroamericana Caribe Andina de Reumatología) - ACCA. It was created in December 1993 with the purpose of disseminating scientific information derived from primary and secondary research and presenting cases coming from the practice of Rheumatology in Latin America. Since its foundation, the Journal has been characterized by its plurality with subjects of all rheumatic and osteomuscular pathologies, in the form of original articles, historical articles, economic evaluations, and articles of reflection and education in Medicine. It covers an extensive area of topics ranging from the broad spectrum of the clinical aspects of rheumatology and related areas in autoimmunity (both in pediatric and adult pathologies), to aspects of basic sciences. It is an academic tool for the different members of the academic and scientific community at their different levels of training, from undergraduate to post-doctoral degrees, managing to integrate all actors inter and trans disciplinarily. It is intended for rheumatologists, general internists, specialists in related areas, and general practitioners in the country and abroad. It has become an important space in the work of all rheumatologists from Central and South America.