糖尿病足的智能护理管理:对计算机视觉和机器学习技术和应用的全面审查
Cynthia Baseman1, Maya Fayfman2, Marcos C Schechter3
1School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA.
Journal of diabetes science and technology
|November 13, 2023
概括
糖尿病足 (DFU) 影响许多成年人,导致严重的并发症. 计算机视觉和机器学习为检测,监测和预测DFU提供了新的方法,改善了患者的护理.
科学领域:
- 医疗技术 医疗技术 医学技术
- 医疗保健中的人工智能
- 糖尿病学 糖尿病学
背景情况:
- 糖尿病影响10%的美国成年人,高达三分之一的人患有糖尿病足 (DFU).
- DFU可能导致截肢 (20%) 和高死亡率 (70%在5年内).
- 与DFU相关的重大人类痛苦和经济负担,不成比例地影响少数民族社区.
研究的目的:
- 提供适用于糖尿病足护理的计算机视觉 (CV) 和机器学习 (ML) 技术的概述.
- 探索这些技术在发现,描述,监测和预测DFU方面的潜力.
- 突出计算传感系统在改善糖尿病患者足部护理方面的好处和未来作用.
主要方法:
- 对现有的CV和ML技术进行范围审查,用于DFU管理.
- 分析使用照片进行远程伤口评估的自动化CV方法.
- 检查利用各种数据流的预测性ML算法.
主要成果:
- CV和ML技术在自动化DFU检测和表征方面表现有前途.
- 远程监控和自动分类可以彻底改变伤口护理.
- 这些技术可以促进患者自我监测,远程选和及时干预.
结论:
- CV和ML有望显著推进糖尿病足护理.
- 计算传感系统为改善DFU结果提供了新的可能性.
- 这些技术的进一步开发和实施对于更好的患者知识和管理至关重要.
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