Rizzo Matthew
Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.
Ann Neurol. 2025 Mar 26. doi: 10.1002/ana.27230.
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real-world and synthetic data, digital twins, and innovative clinical trial designs, such as in silico and adaptive trials. The review emphasizes AI's ability to drive continuous improvements in care and discovery through comparative effectiveness research and learning health systems. The global healthcare implications discussed here tie back to earlier discussions on human-AI collaboration and precision care, underscoring the neurological sciences' responsibility to adopt AI advances judiciously, while managing their ethical, economic, and environmental impacts. ANN NEUROL 2025.
本第三部分的最终综述基于第二部分讨论的实际应用,探讨人工智能(AI)如何在大型医疗网络和数据集中改变数据管理、神经学教育及神经学护理。该综述还强调了AI在真实世界数据与合成数据、数字孪生以及创新临床试验设计(如虚拟试验和适应性试验)中的作用。该综述强调了AI通过比较效果研究和学习型健康系统推动护理和发现持续改进的能力。这里讨论的全球医疗影响可追溯到早期关于人机协作和精准护理的讨论,强调神经科学有责任审慎采用AI进展,同时管理其伦理、经济和环境影响。《神经病学纪事》2025年。