对胸部成像的AI应用:最佳实践的考虑
Eui Jin Hwang1, Jin Mo Goo1, Chang Min Park1
1Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.
Radiology
|February 25, 2025
概括
人工智能 (AI) 正在改变胸部放射学,在肺癌查和肺栓塞检测方面已经得到了验证. 实际实施需要评估,整合和应对培训和责任等挑战,并为未来的创新做好了大型语言模型的准备.
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) 越来越多地融入胸部放射学.
- 现有的AI应用程序在胸部成像分析中表现出有效性.
研究的目的:
- 审查AI在胸部放射学中的当前和潜在应用.
- 讨论实际实施战略和挑战.
- 探索先进人工智能的未来影响,包括大型语言模型 (LLM).
主要方法:
- 审查当前AI在胸部成像中的使用案例.
- 讨论实际实施要求 (评估,IT集成,监测).
- 对挑战的分析 (教育,责任,数据差异).
主要成果:
- 人工智能在肺癌查和肺栓塞查方面表现出有效性.
- 潜在的应用包括过正常放射和机会性查.
- 实施需要客观评估,IT基础设施和监测.
结论:
- 人工智能工具是有效的,但需要实际的实施策略.
- 人工智能采用的挑战包括教育,责任和数据公平.
- 下一代人工智能,如LLMs,在胸部放射学报告和患者沟通方面承诺进一步创新.
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