人工智能在医疗保健数据管理中的视角:迈向精准医学的旅程
Nancy Sanjay Gupta1, Pravir Kumar1
1Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India.
Computers in biology and medicine
|June 4, 2023
概括
人工智能 (AI) 和大数据分析正在为精准医学彻底改变医疗保健. 整合大数据管理中的人工智能提供了个性化的治疗方法,特别是神经疾病,尽管存在挑战.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能在医学中的应用
- 大数据分析大数据分析
背景情况:
- 在医疗保健中增加大数据处理和管理的实施旨在改善临床服务.
- 对各种各样的大型医疗数据 (omics,EHR,传感数据) 的生成,存储和分析对于推进精准医学至关重要.
- 技术进步推动了人工智能 (AI) 和用于医疗保健大数据分析的机器学习的研究.
研究的目的:
- 讨论大数据处理的影响和人工智能在精准医学中的作用.
- 突出AI在整合和分析大数据以实现个性化治疗策略方面的潜力.
- 探索人工智能在个性化治疗中的应用,重点关注神经系统疾病.
主要方法:
- 对医疗保健中的大数据处理现有文献的审查和讨论.
- 探索应用于医疗保健大数据的AI和机器学习技术.
- 分析人工智能在个性化治疗中的作用,包括神经系统疾病的具体例子.
主要成果:
- 人工智能在整合和分析各种医疗保健数据集方面显示出巨大的潜力.
- 人工智能促进了个性化的治疗方法,特别是在管理神经系统疾病方面显示出前景.
- 人工智能驱动的大数据管理和分析的挑战和局限性目前阻碍了精准医学的全面实现.
结论:
- 人工智能是利用医疗保健大数据实现个性化医疗的关键推动者.
- 需要在人工智能领域取得进一步的进步,以克服大数据管理和精准医学分析方面的当前挑战.
- 人工智能在个性化神经疾病治疗中的应用显示出相当大的潜力,但需要进一步的研究和开发.
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