放射学领域的数字化转型和人工智能:临床实践,研究和下一代的挑战和机遇
Emily Hoffmann1, Peter Bannas2, Nadine Bayerl3
1Clinic of Radiology, University of Münster, Münster, Germany.
概括
数字化转型和人工智能 (AI) 为放射学提供了优化工作流程和个性化诊断的重要机会. 然而,数据保护和监管障碍等挑战需要解决,同时为未来的放射科医生提供必要的数字技能培训.
科学领域:
- 医学成像和诊断 医学成像和诊断
- 医疗信息学 医疗信息学
- 放射学 放射学是一门学科.
背景情况:
- 放射学是医疗保健数字化转型的核心,因为它本质上是数字化的.
- 该领域在采用和评估人工智能 (AI) 等创新技术方面处于有利地位.
研究的目的:
- 审查放射学数字化转型带来的机遇和挑战.
- 重点领域包括临床应用,研究和培养数字放射学的年轻人才.
主要方法:
- 一个叙述的回顾相关的德国和英语文学从过去10年.
- 考虑关于数字基础设施,人工智能,伦理/监管框架以及放射学教育/培训的文章.
主要成果:
- 数字化推进了成像,通过人工智能自动化分析,优化工作流程,实现个性化诊断,并支持远程放射学.
- 主要挑战包括数据保护,标准化,验证和阻碍医院实施的监管问题.
- 人工智能应用正在临床实践中出现,但需要进一步验证.
结论:
- 放射科的数字结构促进了新技术的整合.
- 对于未来的放射科医生来说,对数字技能的系统培训对于未来防范该领域至关重要.
- 应对挑战对于在放射学中广泛采用数字进步至关重要.
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