[人工智能在放射学中的应用]
Johannes Jahn1,2, Jakob Weiß3, Fabian Bamberg3
1Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland. johannes.jahn@uniklinik-freiburg.de.
人工智能 (AI) 正在通过提高整个患者旅程的效率和准确性来改变放射学. 人工智能应用程序改善图像采集,诊断和报告,有望对放射科医生的未来角色产生重大影响.
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) 越来越多地被整合到常规放射学实践中.
- 人工智能在放射学中提供了整个患者途径的潜在好处.
研究的目的:
- 介绍当前人工智能在放射学方面的进展和应用.
- 在放射病患者旅程中审查人工智能技术和研究项目.
主要方法:
- 对已建立的人工智能技术进行系统的文献审查.
- 对目前放射学AI研究项目的分析.
- 引用关于人工智能实施的共识建议.
主要成果:
- 人工智能应用包括调度,图像采集 (CT中减少辐射剂量,缩短MRI时间) 和诊断 (骨折/结节检测).
- 像大型语言模型这样的AI工具可以优化工作列表和结构化报告,提高工作流效率和诊断准确性.
- 无集成和经过验证的证据对于在放射学中有效部署人工智能至关重要.
结论:
- 人工智能应用有望显著重塑放射科医生的未来角色.
- 人工智能的整合有望提高放射学中的效率和诊断能力.
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