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相关概念视频

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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相关实验视频

Updated: Jul 20, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
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在脑磁共振成像中开发和部署深度学习模型:一篇评论

Kunal Aggarwal1,2, Marina Manso Jimeno3,4, Keerthi Sravan Ravi3,4

  • 1Accessible MR Laboratory, Biomedical Engineering and Imaging Institute, Department of Diagnostic, Molecular and Interventional Radiology, Mount Sinai Hospital, New York, USA.

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深度学习 (DL) 增强了脑部MRI,但临床部署滞后. 本综述概述了可访问神经成像的DL开发和部署指南,重点关注最佳实践和监管考虑.

科学领域:

  • 神经成像是一种神经成像.
  • 人工智能的人工智能
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可解释的人工智能良好的机器学习实践图像采集 图像采集 图像采集图像重建 图像重建机器学习可用于可访问的MRI.神经成像是一种神经成像.基于深度学习的MRI的先决条件.辐射学报告报告.

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  • 医疗成像医学成像

    • 背景情况:

    • 深度学习 (DL) 显示了改善大脑MRI效率和可访问性的前景.
    • 尽管有许多DL模型和出版物,神经成像中的临床采用仍然有限.
    • 认证机构的指导方针对于弥合DL研究和临床实践之间的差距至关重要.

    结论:

    • 弥合DL研究和临床神经成像之间的差距,需要对开发和部署采取全面的方法.
    • 遵守既定的准则和最佳实践对于在脑MRI中负责任和有效地实施AI至关重要.
    • 应对当前的挑战和探索未来的机遇将进一步释放DL的潜力,以实现可访问和先进的神经成像.