神经学中的人工智能:一切,无处不在,全部同时 第3部分:监视,合成,模拟和系统
1Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.
Annals of neurology
|March 26, 2025
概括
人工智能 (AI) 正在通过增强数据管理,教育和临床试验来彻底改变神经保健. 负责任地采用人工智能对于不断改进神经学发现和患者结果至关重要.
科学领域:
- 神经学 神经学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 基于先前关于神经学中实际人工智能应用的讨论.
- 专注于人工智能在大规模医疗保健网络和数据集中的变革性影响.
研究的目的:
- 探索AI在数据管理,神经教育和患者护理中的作用.
- 突出AI在现实世界和合成数据,数字双胞胎和新型临床试验设计中的实用性.
- 通过比较有效性研究和学习健康系统,强调人工智能对持续改进的贡献.
主要方法:
- 对神经学当前和新兴的人工智能应用的审查.
- 对人工智能融入数据管理,教育和临床实践的分析.
- 对人工智能采用的伦理,经济和环境考虑的讨论.
主要成果:
- 人工智能正在改变神经数据管理,教育和护理.
- 创新的应用包括数字双胞胎和in silico/适应性临床试验.
- 人工智能通过比较有效性研究和学习卫生系统来促进持续改进.
结论:
- 人工智能为推进神经科学和患者护理提供了巨大的潜力.
- 对人工智能影响的审慎采用和管理对该领域至关重要.
- 人与人工智能的协作和精密护理是未来的关键方向.
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