外科理论与实践2024，Vol.29Issue(4)：300-303,4.DOI:10.16139/j.1007-9610.2024.04.05
大数据时代的革新:利用机器学习和人工智能推动腹壁力学研究
Innovation in the era of big data:advancing abdominal wall mechanics research through machine learning and artificial intelligence
毛明焕 1杨槟泽 1彭雪强 1李航宇1
作者信息
- 1. 中国医科大学附属第四医院普通外科,辽宁 沈阳 110032
- 折叠
摘要
Abstract
Research in abdominal wall mechanics is progressively overcoming the limitations of traditional assessment methods with the application of machine learning and artificial intelligence technologies.By leveraging deep learning algorithms and big data analytics,precise mechanical and predictive models are being established to analyze the stress distribution in abdominal wall muscles under various conditions,facilitating the development of personalized treatment strategies.This approach not only aids in optimizing hernia repair strategies and reducing recurrence risks,but also has the potential to improve patient outcomes.Looking ahead,the continued integration of multidimensional data will further drive systematic research and clinical application in the field of abdominal wall mechanics.关键词
机器学习/人工智能/腹壁力学/诊断Key words
Machine learning/Artificial intelligence/Abdominal wall mechanics/Diagnosis分类
医药卫生引用本文复制引用
毛明焕,杨槟泽,彭雪强,李航宇..大数据时代的革新:利用机器学习和人工智能推动腹壁力学研究[J].外科理论与实践,2024,29(4):300-303,4.
