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骨肌系统影像人工智能发展现状与展望

袁慧书 倪铭

国际医学放射学杂志2025,Vol.48Issue(5):497-503,7.
国际医学放射学杂志2025,Vol.48Issue(5):497-503,7.DOI:10.19300/j.2025.S22432

骨肌系统影像人工智能发展现状与展望

Current status and future prospects of artificial intelligence in musculoskeletal imaging

袁慧书 1倪铭1

作者信息

  • 1. 北京大学第三医院放射科,北京 100191
  • 折叠

摘要

Abstract

Musculoskeletal disorders are characterized by diverse pathological types and complex anatomical structures,placing high demands on the precision of imaging examinations.In recent years,artificial intelligence(AI)has shown great potential in musculoskeletal imaging,particularly in anatomical segmentation,lesion detection,quantitative measurement,and intelligent diagnosis.This review systematically summarizes advances in AI applications for degenerative joint diseases,sports injuries,fracture detection,osteoporosis screening,and musculoskeletal tumors,while also outlining its expanding roles in image reconstruction,quality control,and educational support.Furthermore,it highlights the developmental trends of large AI models in musculoskeletal imaging and discusses their potential and challenges in multimodal,multitask,and personalized clinical decision support.Although AI has reached or even surpassed expert-level performance in certain tasks,limitations remain in model generalization,data acquisition and annotation standards,cross-modality integration,and clinical adaptability.Future progress will require high-quality data construction,interdisciplinary collaboration,and the establishment of standardized frameworks to advance musculoskeletal AI toward more intelligent,efficient,and standardized clinical practice.

关键词

骨肌系统/影像学/人工智能/诊断

Key words

Musculoskeletal system/Imaging/Artificial intelligence/Diagnosis

分类

医药卫生

引用本文复制引用

袁慧书,倪铭..骨肌系统影像人工智能发展现状与展望[J].国际医学放射学杂志,2025,48(5):497-503,7.

基金项目

国家重点研发计划(2023YFC2410703) (2023YFC2410703)

国家自然科学基金项目(82171927) (82171927)

北京新健康产业发展基金会项目(XM2020-02-006,XM2022-02-002) (XM2020-02-006,XM2022-02-002)

国际医学放射学杂志

1674-1897

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