If a patient can’t stay still, technology may now be able to compensate. Researchers at the Massachusetts Institute of Technology (MIT) have unveiled a deep learning model capable of addressing the persistent challenge of motion artifacts in magnetic resonance imaging (MRI) scans. The innovation holds the potential to greatly improve diagnostic accuracy, particularly for patients with neurological disorders.