内接,心脏健康和心力衰竭:人工智能 (AI) 驱动的诊断和治疗的潜力
Mahavir Singh1,2, Anmol Babbarwal3, Sathnur Pushpakumar1
1Department of Physiology, School of Medicine, University of Louisville, Louisville, Kentucky, USA.
Physiological reports
|January 9, 2025
概括
互感,身体的身体.
科学领域:
- 神经科学是一个神经科学.
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
背景情况:
- 内接包括感知身体内部的信号,这对于生理调节至关重要.
- 功能障碍的整体受体与心血管疾病有关,包括心力衰竭 (HF).
研究的目的:
- 探索心力衰竭中的整感受及其神经机制的概念.
- 审查人工智能 (AI) 在诊断,开发HF生物标志物和治疗中的潜力.
主要方法:
- 审查关于整体感受,神经机制和AI在心血管疾病中的应用现有文献.
- 分析人工智能在处理高频管理的复杂感知数据中的作用.
主要成果:
- 人工智能算法可以分析整体感应数据,以识别HF疾病标志物,以便早期检测.
- 人工智能可通过可穿戴传感器促进个性化治疗策略和远程患者监控.
结论:
- 人工智能具有很大的潜力,可以提高HF诊断和治疗的准确性和有效性.
- 利用人工智能可以通过加强监测和个性化干预来改善心力衰竭患者的结果.
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