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脊柱成像中的人工智能能能影响当前的实践吗? 实践发展及其临床状态
Yu-Cherng Chang1, Cinthia Del Toro2, Joseph P Gjolaj3
1Department of Radiology, University of Miami Miller School of Medicine/Jackson Memorial Hospital, Miami, FL 33136, United States.
North American Spine Society journal
|July 18, 2025
概括
人工智能 (AI) 在脊柱成像中提供越来越多的好处,深度学习重建是最先进的临床应用. 本综述详细介绍了当前的人工智能工具,以帮助脊柱成像专业人员做出采用决策.
科学领域:
- 放射学 放射学是一门学科.
- 脊柱成像技术 脊柱成像技术
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在快速扩展脊柱成像领域.
- 评估AI在脊柱成像中的临床相关性是具有挑战性的,因为早期的研究阶段.
- 本摘要侧重于目前临床使用的AI工具.
研究的目的:
- 解释AI在脊柱成像中的好处.
- 引导放射科医生和外科医生了解脊柱成像中人工智能的当前状态.
- 根据AI在临床实践中的采用情况做出决定.
主要方法:
- 进行了出版物的叙事审查.
- 在PubMed.com的搜索集中在"人工智能"和"脊柱成像"上.
- 该评论更新了目前在临床实践中使用的脊柱成像中的AI应用.
主要成果:
- 人工智能应用包括深度学习图像重建 (DLR),细分,报告生成和手术辅助.
- DLR是最成熟的AI应用程序,可以提高成像速度和可解释性.
- 其他人工智能应用有希望,但需要进一步调查或与人类性能相比较.
结论:
- 脊柱成像中的AI涵盖了早期临床实施的多种应用.
- 这些发现表明,人工智能集成到脊柱成像中具有前景的未来.
- 人工智能工具在脊柱成像中的临床实践中变得越来越重要.
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