[1]刘锐,李硕,白静,等.人工智能在小儿骨科的应用现状与研究进展[J].临床小儿外科杂志,2026,(01):30-32.[doi:10.3760/cma.j.cn101785-202411054]
　Liu Rui,Li Shuo,Bai Jing,et al.Research progress on the applications and challenges of artificial intelligence in pediatric orthopedics[J].Journal of Clinical Pediatric Surgery,2026,(01):30-32.[doi:10.3760/cma.j.cn101785-202411054]
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人工智能在小儿骨科的应用现状与研究进展

《临床小儿外科杂志》[ISSN:1671-6353/CN:43-1380/R] 卷: 期数: 2026年01 页码: 30-32 栏目: 专题·机器人手术在小儿骨科的应用 出版日期: 2026-01-28
Title:
Research progress on the applications and challenges of artificial intelligence in pediatric orthopedics
作者:
刘锐1;  李硕2;  白静1;  郭斌斌1;  达朝明1;  贺云飞2;  屈涛2;  牛伟明1;  邓银栓1
1 甘肃省中心医院骨一科, 兰州 730000;
2 甘肃省中心医院骨二科, 兰州 730000
Author(s):
Liu Rui1;  Li Shuo2;  Bai Jing1;  Guo Binbin1;  Da Chaoming1;  He Yunfei2;  Qu Tao2;  Niu Weiming1;  Deng Yinshuan1
1 First Department of Orthopedics, Gansu Provincial Central Hospital, Lanzhou 730000, China;
2 Second Department of Orthopedics, Gansu Provincial Central Hospital, Lanzhou 730000, China
关键词:
人工智能; 大数据; 骨科; 外科手术; 儿童
Keywords:
Artificial Intelligence; Big Data; Osteopathy; Surgical Procedures;  Operative; Child
DOI:
10.3760/cma.j.cn101785-202411054
摘要:
人工智能(artificial intelligence,AI)作为变革性技术,正在高速推动医学领域发展,其在小儿骨科的应用凭借高效性和精确性受到越来越多的关注。近年AI广泛应用于发育性髋关节发育不良、脊柱侧弯、儿童骨折等疾病的早期筛查与诊断,通过深度学习影像分析系统提升诊断准确性;在个性化治疗方案设计中,结合影像数据与生物力学模型提供精准支持;智能机器人与手术导航技术的融合,提高了手术安全性。然而,AI在小儿骨科的应用仍面临数据质量不佳、技术与临床融合不足、隐私保护和伦理规范不完善等挑战。本文简述近年AI和大数据技术在小儿骨科的应用现状与研究进展,重点探讨其在核心诊疗环节的实际应用与瓶颈,为技术深入发展提供参考,进而助力精准化、智能化医疗模式推进。
Abstract:
Artificial intelligence (AI),as a transformative technology,is accelerating the development of medicine and has shown distinctive advantages in pediatric orthopedics due to its high efficiency and accuracy.In recent years,AI has been widely applied to early screening and diagnosis of conditions such as developmental dysplasia of the hip,scoliosis,and pediatric fractures,where deep learning-based medical imaging analysis systems improve diagnostic accuracy.AI also provides precise support for personalized treatment planning by integrating imaging data with biomechanical models,while the convergence of intelligent robots with surgical navigation technologies enhances surgical safety and outcomes.Nevertheless,AI applications in pediatric orthopedics continue to face challenges,including suboptimal data quality,insufficient integration between AI technologies and clinical workflows,and incomplete frameworks for privacy protection and ethical governance.This article outlines the current status and recent research progress of AI and big data technologies in pediatric orthopedics,with emphasis on real-world applications and technical bottlenecks in key diagnostic and therapeutic processes,offering references for future technical advancement and supporting the transition toward precise and intelligent healthcare models.

参考文献/References:

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备注/Memo

收稿日期:2024-11-26。
基金项目:兰州市科技计划项目(2022—ZD—64)
通讯作者:邓银栓,Email:Kefandeng@163.com

更新日期/Last Update: 2026-01-28