人工智能辅助的临床决策:为老年糖尿病患者推进个性化精密医学的观点
Jian Hu1,2, Lijun Ren1,2, Tingwen Wang1,2
1First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.
Journal of multidisciplinary healthcare
|August 11, 2025
概括
人工智能 (AI) 增强了老年人的个性化糖尿病护理,改善了治疗的坚持和减少住院治疗. 由人工智能驱动的临床决策支持系统显示出高的诊断准确性,优化了尽管数据和隐私挑战的护理.
科学领域:
- 老年学是一门学科.
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 全球人口正在快速老龄化,导致老年人多病症增加和复杂的治疗需求.
- 老年人糖尿病管理存在独特的挑战,原因是对治疗和坚持问题的异质反应.
研究的目的:
- 探索人工智能 (AI) 辅助临床决策在推进糖尿病老年患者个性化精密医学的潜力.
- 检查人工智能技术在老年人糖尿病护理中的整合.
主要方法:
- 对当前医疗保健实践和新兴人工智能技术 (机器学习,自然语言处理,智能监控) 的系统分析.
- 对人工智能对住院率,治疗坚持,诊断准确性和老年糖尿病护理中药物坚持的影响的评估.
主要成果:
- 人工智能整合显示,将使住院率降低25%,治疗坚持率提高30%.
- 人工智能驱动的临床决策支持系统 (CDSS) 的诊断准确率高达93.07%.
- 与传统方法相比,人工智能增强监测提高了药物坚持率17.9%.
结论:
- 人工智能辅助的临床决策为改善老年糖尿病护理结果提供了一种变革性的方法.
- 解决数据标准化,算法透明度和患者隐私等挑战对于平衡的人工智能实施至关重要.
- 为了在临床环境中部署人工智能的全面框架,必须建立多学科的合作.
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