肌骨超声联合人工智能诊断炎症性关节病进展
Progress in Musculoskeletal Ultrasound and Artificial Intelligence for Diagnosing Inflammatory Arthropathy
DOI: 10.12677/tcm.2026.158454, PDF,   
作者: 杨嘉颖：黑龙江省中医药科学院研究生院，黑龙江 哈尔滨；梁 冰*, 徐 红：黑龙江省中医药科学院骨一科，黑龙江 哈尔滨
关键词: 肌骨超声；炎症性关节病；手持式超声；人工智能；辅助诊断；Musculoskeletal Ultrasound； Inflammatory Arthropathies； Handheld Ultrasound； Artificial Intelligence； Assisted Diagnosis
摘要: 肌骨超声作为骨科学领域中诊断和管理炎症性关节病的重要影像学工具，因其无创、实时和动态观察的特点，近年来受到了广泛关注。伴随着手持式超声(handheld ultrasound, HHUS)的快速发展及人工智能(Artificial intelligence, AI)技术的引入，肌骨超声在提升诊断准确性和便携性方面展现出巨大的潜力。然而，当前该领域仍面临图像质量不稳定、数据存储安全风险及AI辅助诊断技术整合难度较高等挑战。本文围绕手持式超声(HHUS)与人工智能(AI)技术在肌骨超声图像识别和定量分析中的应用进展进行综述，探讨其在炎症性关节病早期诊断、病情评估和临床推广中的应用价值，旨在为临床医生和研究者提供理论依据和实践参考，促进肌骨超声技术的智能化发展。
Abstract: Musculoskeletal ultrasound, as an important imaging tool for the diagnosis and management of inflammatory arthropathies in orthopedics, has received increasing attention in recent years because of its non-invasive nature and its ability to provide real-time and dynamic assessment. With the rapid development of handheld ultrasound (HHUS) and the introduction of artificial intelligence (AI), musculoskeletal ultrasound has shown great potential in improving diagnostic accuracy and portability. However, this field still faces several challenges, including unstable image quality, risks related to data storage security, and difficulties in integrating AI-assisted diagnostic technologies. This article reviews the application progress of handheld ultrasound (HHUS) and artificial intelligence (AI) in image recognition and quantitative analysis of musculoskeletal ultrasound, and discusses their value in the early diagnosis, disease assessment, and clinical promotion of inflammatory arthropathies. This review aims to provide theoretical evidence and practical reference for clinicians and researchers, and to promote the intelligent development of musculoskeletal ultrasound technology.
文章引用：杨嘉颖, 梁冰, 徐红. 肌骨超声联合人工智能诊断炎症性关节病进展[J]. 中医学, 2026, 15(8): 426-434. https://doi.org/10.12677/tcm.2026.158454

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