推进糖尿病足治疗:人工智能和生成人工智能对分类,预测,细分和检测的方法.
Suhaylah Alkhalefah1, Isra AlTuraiki1, Najwa Altwaijry1
1Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.
Healthcare (Basel, Switzerland)
|March 28, 2025
概括
人工智能 (AI) 和生成性AI正在通过增强的分类,预测和检测来改善糖尿病足 (DFU) 管理. 由人工智能驱动的智能手机应用程序为DFU提供具有成本效益的远程监控和诊断.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 计算生物学 计算生物学
背景情况:
- 糖尿病足 (DFU) 在糖尿病管理中构成重大挑战,导致严重并发症和增加医疗保健成本.
- 传统的DFU管理依赖于资源密集的手动评估和诊断工具.
- 人工智能 (AI) 和生成AI为DFU护理提供了创新的解决方案.
研究的目的:
- 系统地审查AI和生成AI在糖尿病足分类,预测,细分和检测中的应用.
- 探索生成AI在解决DFU管理数据稀缺方面的作用.
- 评估人工智能驱动的智能手机应用程序在远程DFU监控和诊断方面的潜力.
主要方法:
- 一个系统的文献审查,遵循PRISMA指南.
- 从主要科学数据库 (PubMed,IEEE Xplore,Scopus,Web of Science) 中确定2020年至2025年间发表的相关研究.
- 专注于针对DFU的AI和生成AI应用程序,但不包括非DFU的医学成像研究.
主要成果:
- 人工智能模型在DFU分类准确性,早期检测率和预测建模方面取得了显著的改进.
- 生成人工智能技术,包括GAN和扩散模型,通过创建合成DFU图像来克服数据集限制.
- 支持人工智能的智能手机应用程序为DFU监控提供了具有成本效益的方法,可能会增强诊断能力.
结论:
- 人工智能和生成性人工智能正在通过提高诊断准确性和预测能力来彻底改变糖尿病足管理.
- 未来的研究应该强调可解释的AI框架和使用各种数据集,以促进AI在DFU护理中的更广泛的临床采用.
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