人工智能用于糖尿病并发症预测:对当前应用和未来方向的系统审查
Francesca Pescol1, Pietro Bosoni1, Stefania Ghilotti2
1Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Journal of diabetes science and technology
|November 29, 2025
概括
人工智能 (AI) 显示出预测糖尿病并发症的前景,眼睛疾病是最受研究的. 当前的模型往往忽略了非结构化数据和像基础模型一样的先进人工智能,突出了未来研究的领域.
科学领域:
- 糖尿病研究研究 糖尿病研究
- 人工智能应用程序的人工智能应用
- 预测建模的预测建模.
背景情况:
- 糖尿病带来微血管和宏血管并发症的重大风险.
- 人工智能 (AI) 越来越多地被用于建模复杂的风险因素关系,以预测这些并发症.
- 最近的AI进步,包括基础和生成模型,在这个领域提供了新的潜力.
研究的目的:
- 审查人工智能在预测糖尿病并发症方面的当前研究格局.
- 研究人工智能创新在糖尿病护理中的当前和未来影响.
- 确定人工智能驱动的糖尿病并发症预测趋势,方法和挑战.
主要方法:
- 在主要数据库 (PubMed,Scopus,Ovid MEDLINE,CINAHL,IEEE) 进行了全面的文献搜索.
- 分析的重点是预测的并发症,人口特征,人工智能方法,模型性能,预测因素和特征重要性.
- 49项研究被选中进行详细审查和综合.
主要成果:
- 与眼睛相关的并发症是最常见的预测结果 (59%).
- 主要使用的是机器学习和深度学习模型 (82%的组合);然而,基础和生成AI缺席.
- 年龄和糖化血红蛋白始终被确定为关键预测因素,而非结构化数据的使用是有限的 (10%).
结论:
- 对糖尿病并发症的现有人工智能研究是广泛的,但面临着持续的挑战.
- 有效利用非结构化数据 (例如信号,图像) 仍然是一个需要发展的领域.
- 整合最近的AI进步,如基础和生成模型,对于未来的进步至关重要.
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