  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.
