Innovation in the era of big data:advancing abdominal wall mechanics research through machine learning and artificial intelligence

VernacularTitle: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
Author: Minghuan MAO ¹ ; Binze YANG ; Xueqiang PENG ; Hangyu LI
Author Information

1. 中国医科大学附属第四医院普通外科,辽宁沈阳 110032
Keywords: Machine learning; Artificial intelligence; Abdominal wall mechanics; Diagnosis
From: Journal of Surgery Concepts & Practice 2024;29(4):300-303
CountryChina
Language:Chinese
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.