多发性硬化症护理的创新:人工智能通过机器学习对临床研究和决策的影响
Jacob Cartwright1, Kristof Kipp1, Alexander V Ng1
1From the Program in Exercise Science, Department of Physical Therapy, Marquette University, Milwaukee, WI, USA (JC, KK, AVN).
International journal of MS care
|September 18, 2023
概括
人工智能 (AI) 和机器学习为医疗保健专业人员提供了新的工具. 本综述解释了人工智能技术及其在诊断和治疗多发性硬化症中的使用,从而改善患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 计算医学是一种计算医学.
背景情况:
- 人工智能 (AI) 和机器学习正在快速推进分析技术.
- 医疗保健专业人员将越来越多地在诊断,治疗和康复应用中遇到AI.
研究的目的:
- 为医疗保健专业人员提供人工智能和机器学习的基础知识.
- 解释用于分类和聚类任务的AI算法.
- 突出AI在多发性硬化症诊断,治疗和康复中的应用.
主要方法:
- 定义和区分人工智能和机器学习.
- 讨论评估AI算法的指标.
- 审查7大类的人工智能算法及其应用.
- 通过使用各种数据来源,检查多发性硬化症中人工智能的关键研究.
主要成果:
- 人工智能和机器学习为医疗保健中的数据分析提供了强大的工具.
- 特定的AI算法对于分类和聚类任务是有效的.
- 人工智能在推进多发性硬化症的诊断,治疗和康复方面显示出巨大的潜力.
结论:
- 医疗保健专业人员需要了解人工智能和机器学习,以利用这些技术.
- 人工智能驱动的工具可以提高患者的护理质量,特别是患有多发性硬化症的患者.
- 熟悉人工智能有助于采用先进的诊断和治疗技术.
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