人工智能在脊柱成像中的实际应用:一篇评论
Upasana Upadhyay Bharadwaj1, Cynthia T Chin2, Sharmila Majumdar1
1Department of Radiology and Biomedical Imaging, University of California San Francisco, 1700 4th Street, Byers Hall, Suite 203, Room 203D, San Francisco, CA 94158, USA.
Neurosurgery clinics of North America
|October 30, 2025
概括
人工智能 (AI) 增强了脊柱病理的医学成像,提高了效率和诊断准确度. 这篇评论详细介绍了人工智能应用,影响和未来的整合到脊柱成像工作流程中.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在医学成像中提供了变革性的潜力.
- 脊柱成像分析可以从人工智能驱动的进步中受益.
研究的目的:
- 审查人工智能算法,技术和脊柱成像中的应用.
- 突出AI在脊柱成像中的诊断影响和挑战.
- 讨论人工智能融入临床工作流程的未来方向.
主要方法:
- 在脊柱成像中对AI应用的文献综述.
- 分析与脊柱病理相关的AI算法和技术.
- 检查诊断影响和工作流集成挑战.
主要成果:
- 人工智能显示出显著的潜力,可以提高脊椎疾病的成像效率和诊断准确度.
- 不同的人工智能算法和技术适用于各种脊柱病理.
- 在将人工智能集成到现有的脊柱成像工作流中仍然存在挑战.
结论:
- 在脊柱成像中整合人工智能有望提高诊断能力和患者的治疗结果.
- 需要进一步的研究和开发来克服整合挑战.
- 人工智能将成为未来脊柱成像实践中不可或缺的一部分.
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