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机器学习在促进糖尿病足的作用:一篇综述

Huifang Guan¹, Ying Wang¹, Ping Niu²

¹College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.

Frontiers in endocrinology

|May 14, 2024

概括

机器学习 (ML) 正通过提高诊断准确性和治疗策略来彻底改变糖尿病足部护理. 这项技术为治疗糖尿病足并发症提供了以精度为导向的,全球适用的解决方案,提高了患者的治疗结果.

科学领域:

医疗信息学医疗信息学
人工智能在医学中的应用
计算病理学计算病理学

背景情况:

糖尿病足部并发症是糖尿病患者发病和死亡的主要原因.
传统的诊断和治疗方法在管理这些复杂的疾病方面存在局限性.
机器学习 (ML) 为糖尿病患者的足部护理提供了一种变革性的方法.

研究的目的:

探索ML对治疗糖尿病脚部并发症的影响.
突出ML在提高诊断准确性和治疗策略方面的潜力.
审查医学成像,生物标志物检测和糖尿病足护理临床生物力学中的ML应用.

主要方法:

在PubMed,Scopus和谷歌学者中进行了全面的文献搜索,截至2024年3月.
关键词包括"机器学习"",糖尿病脚"",人工智能"和"预测建模".
分析重点是ML原则,算法及其在糖尿病足病理学中的应用,并得到案例研究的支持.

主要成果:

ML从复杂的数据集提供了关键的见解,提高了糖尿病足管理的诊断精度和治疗计划.
ML算法在临床决策,预后评估和诊断应用中表现出有效性.
对比分析强调了ML在糖尿病足部护理中的价值.

结论:

ML正处于革新糖尿病足护理的最前沿,提供以精度为导向和全球适用的治疗范式.
尽管存在诸如计算限制和伦理考虑等挑战,但ML承诺在患者护理方面取得前所未有的进步.
整合ML对于未来的糖尿病足管理策略至关重要.

关键词:

计算病理学计算病理学糖尿病足部足部糖尿病患者的糖尿病脚机器学习是机器学习.精准医学是一门精准医学.

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