Magnetic resonance imaging (MRI) has significantly benefited from the
resurgence of artificial intelligence (AI). By leveraging AI's capabilities in
large-scale optimization and pattern recognition, innovative methods are
transforming the MRI acquisition workflow, including planning, sequence design,
and correction of acquisition artifacts. These emerging algorithms demonstrate
substantial potential in enhancing the efficiency and throughput of acquisition
steps. This review discusses several pivotal AI-based methods in neuro MRI
acquisition, focusing on their technological advances, impact on clinical
practice, and potential risks.

磁共振成像（MRI）与人工智能（AI）的复兴密切相关。通过利用 AI 在大规模优化和模式识别方面的能力，创新方法正在改变 MRI 采集流程，包括规划、序列设计和纠正采集伪影。这些新兴算法在增强采集步骤的效率和吞吐量方面展示了重要潜力。本综述讨论了神经 MRI 采集中几种重要的基于 AI 的方法，重点关注其技术进展、对临床实践的影响和潜在风险。