基于人工智能的可穿戴传感技术用于癌症,糖尿病和COVID-19的管理
Amit Kumar1, Shubham Goel2, Abhishek Chaudhary3
1Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan 173234, Himachal Pradesh, India.
与可穿戴传感器集成的人工智能 (AI) 可为糖尿病和癌症等慢性疾病提供个性化,持续的健康监测. 这些先进的可穿戴设备通过预测分析和优化疗法来改善疾病管理.
科学领域:
- 生物医学工程 生物医学工程
- 人工智能的人工智能
- 可穿戴技术可穿戴技术
背景情况:
- 可穿戴式传感器和人工智能集成正在改变慢性疾病管理.
- 当前的技术提供个性化,持续的监督和预测性健康洞察力.
- 多种传感技术是人工智能驱动的可穿戴设备的基础.
研究的目的:
- 探索人工智能驱动的可穿戴传感技术的最新进展.
- 审查这些技术在管理COVID-19,糖尿病和癌症等慢性疾病中的应用.
- 突出AI集成可穿戴设备在临床实践中的挑战和未来方向.
主要方法:
- 基于人工智能的可穿戴设备的审查,使用电化学,色度,化学,光学和压力/污点传感.
- 分析人工智能算法用于个性化监督,预测分析和治疗优化.
- 检查COVID-19,糖尿病 (CGM,胰岛素) 和癌症 (生物标志物跟踪,成像) 中的特定应用.
主要成果:
- 人工智能驱动的可穿戴设备在持续监测和慢性病的个性化管理方面显示出巨大的潜力.
- 审查的特定应用程序在跟踪COVID-19的生命体征,糖尿病的葡萄糖水平和癌症的生物标志物方面表现出有效性.
- 人工智能增强了传感器数据的解释,以便及时进行干预和优化治疗计划.
结论:
- 人工智能集成的可穿戴传感器代表了慢性疾病管理的革命性方法.
- 需要进一步开发以解决准确性,可扩展性和无临床集成的问题.
- 未来的研究应该专注于克服当前在医疗保健中广泛采用的挑战.
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