机器学习用于糖尿病患者的足部护理:准确性趋势和医疗保健AI新兴方向
Pei-Chun Lin1,2, Tsai-Chung Li1,3, Tzu-Hsuan Huang4
1Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
Frontiers in public health
|August 4, 2025
概括
机器学习 (ML) 越来越多地用于糖尿病脚研究,重点是热成像和基于物联网的监控. 未来的研究应该探索深度学习和其他先进的AI技术,以获得更好的临床结果.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 糖尿病并发症 研究 研究 研究
背景情况:
- 糖尿病足部并发症显著影响患者的生活质量,并可能导致截肢.
- 人工智能 (AI),特别是机器学习 (ML),为疾病预测,监测和管理提供了有前途的解决方案.
- 目前缺乏在糖尿病足研究中对ML应用的系统概述.
研究的目的:
- 系统地分析最近关于机器学习应用在糖尿病脚研究中的文献.
- 确定这一领域的关键趋势,重点领域和方法论方法.
- 提供关于ML在糖尿病足管理中的当前状态和未来方向的见解.
主要方法:
- 在科学网络,IEEE Xplore 和 PubMed (2020-2024) 中进行全面的文献搜索.
- 包括在SCI或SSCI索引中的同行评审文章,重点关注ML和糖尿病足.
- 对25篇精选的原创研究文章进行系统审查.
主要成果:
- 在过去五年中,糖尿病足研究的ML出版物显著增加.
- 图像分析,特别是热成像 (10/12项研究) 是主导的主题.
- 结构化临床数据分析 (7项研究) 和基于物联网的监测 (6项研究) 也是重要的领域.
结论:
- 在糖尿病足研究中的ML集成正在迅速推进,使用各种数据模式和技术.
- 热成像仍然是重点重点,而物联网创新显示出临床潜力.
- 未来的研究应该包括深度学习,基因组数据和大型语言模型,以提高临床效用.
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