[1]杨文通,赵继荣,薛旭,等.机器学习模型在颈椎病中的应用进展[J].中国医学物理学杂志,2025,42(2):269-273.[doi:DOI:10.3969/j.issn.1005-202X.2025.02.020]
　YANG Wentong,ZHAO Jirong,XUE Xu,et al.Advances in machine learning models for cervical spondylosis[J].Chinese Journal of Medical Physics,2025,42(2):269-273.[doi:DOI:10.3969/j.issn.1005-202X.2025.02.020]
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机器学习模型在颈椎病中的应用进展()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
42
期数:
2025年第2期
页码:
269-273
栏目:
医学人工智能
出版日期:
2025-01-20

文章信息/Info

Title:
Advances in machine learning models for cervical spondylosis
文章编号:
1005-202X（2025）02-0269-05
作者:
杨文通; 赵继荣; 薛旭; 马东; 赵瑞; 刘俊豪; 马伯骞
甘肃中医药大学中医临床学院， 甘肃 兰州 730030
Author(s):
YANG Wentong;  ZHAO Jirong;  XUE Xu;  MA Dong;  ZHAO Rui;  LIU Junhao;  MA Boqian
Clinical College of Traditional Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou 730030, China
关键词:
颈椎病; 机器学习; 深度学习; 综述
Keywords:
Keywords: cervical spondylosis machine learning deep learning review
分类号:
R318；653
DOI:
DOI:10.3969/j.issn.1005-202X.2025.02.020
文献标志码:
A
摘要:
颈椎病的诊断、治疗和预后评估是临床诊疗中的难题。机器学习模型可通过对临床复杂数据的处理，提高颈椎病诊断的精准度和效率，协助临床医生选择更精准的治疗方案，并评估预后。笔者通过综述近年来机器学习模型应用于颈椎病领域的国内外文献，分类总结应用于颈椎病诊断、治疗和预后评估方面的有关模型，介绍了随机森林等经典算法，以及卷积神经网络、深度神经网络、长短期记忆网络等新型算法，旨在为颈椎病诊疗的各阶段提供可参考的机器学习方案。
Abstract:
Abstract： The diagnosis, treatment, and prognosis evaluation of cervical spondylosis are challenging in clinic. Machine learning (ML) models can improve the accuracy and efficiency of cervical spondylosis diagnosis by processing complex clinical data, assist in selecting more precise treatment plans, and evaluate prognosis. Through the domestic and foreign literature review on the application of ML models in cervical spondylosis in recent years, the study classifies and summarizes the relevant models applied in the diagnosis, treatment, and prognosis evaluation of cervical spondylosis, introduces classic algorithms such as random forest, as well as new algorithms such as convolutional neural networks, deep neural networks and long short-term memory networks, aiming to provide reference ML solutions for various stages of cervical spondylosis diagnosis and treatment.

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备注/Memo

备注/Memo:
【收稿日期】2024-08-18 【基金项目】国家重点研发计划（2021YFC1712802）；甘肃省联合科研基金（23JRRA1519）；赵继荣甘肃省名中医传承工作室项目 【作者简介】杨文通，博士研究生，研究方向：中医药治疗脊柱疾病，E-mail: 2239578929@qq.com 【通信作者】赵继荣，教授，博士生导师，研究方向：中医药治疗脊柱疾病，E-mail: zhaojirong0709@163.com
更新日期/Last Update: 2025-01-22