针对糖尿病足的预防和治疗管理的个性化和预测性策略:通过引入人工智能和可穿戴技术的潜在改进
Andrei Ardelean1, Diana-Federica Balta2, Carmen Neamtu3,4
11st Surgery Clinic, Faculty of Medicine, "Vasile Goldis" West University, Arad, Romania.
Medicine and pharmacy reports
|November 6, 2024
概括
人工智能 (AI) 和可穿戴设备可以通过识别早期预警信号来帮助预防和管理糖尿病足. 这些技术提供个性化的护理,但需要进一步的研究和投资才能广泛采用.
科学领域:
- 生物医学工程 生物医学工程
- 数字健康数字健康
- 糖尿病管理 糖尿病管理
背景情况:
- 糖尿病足 (DFU) 是糖尿病的严重并发症,导致高发病率和死亡率.
- 目前DFU的管理策略往往是反应性的,需要采取主动的方法.
研究的目的:
- 探索人工智能 (AI) 和可穿戴技术的进展,以预防和管理DFU.
- 评估这些技术在彻底改变DFU护理方面的潜力.
主要方法:
- 审查目前的AI应用在预测分析的DFU风险识别.
- 分析各种可穿戴技术,包括连续血糖监测器,智能内和温度传感器,用于实时监测.
- 对人工智能和可穿戴技术在个性化护理计划中的整合进行评估.
主要成果:
- 由人工智能驱动的预测分析可以检测早期的DFU指标,从而能够及时进行干预.
- 可穿戴设备为高风险人群提供持续监控和早期警告.
- 这些技术促进了个性化护理和参与式医疗保健模式.
结论:
- 人工智能和可穿戴技术的整合显示出改善DFU结果和降低医疗保健成本的巨大潜力.
- 应对患者执法,社会经济障碍和道德考虑等挑战对于成功实施至关重要.
- 进一步投资数字基础设施和医疗保健提供者培训至关重要,以实现这些进步的全部好处.
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