聊天GPT在放射学中的潜在应用和影响
Suryansh Bajaj1, Darshan Gandhi2, Divya Nayar3
1Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205 (S.B.).
Academic radiology
|October 6, 2023
概括
人工智能 (AI),包括像ChatGPT这样的大型语言模型 (LLM),越来越多地被讨论为放射学. 这些人工智能工具显示出提高患者结果和放射科医生工作流效率的潜力.
科学领域:
- 医学成像和放射学医学成像和放射学
- 医疗保健中的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 放射学在整合先进技术方面有着悠久的历史.
- 人工智能 (AI) 已经在放射学中用于调度和图像分析等任务.
- 自然语言处理 (NLP) 和大语言模型 (LLM) 在放射学中的应用是最近的讨论领域.
研究的目的:
- 探索像ChatGPT这样的大型语言模型 (LLM) 在放射学领域的潜在应用.
- 讨论人工智能驱动的NLP如何提高放射科医生的工作流程和患者护理.
主要方法:
- 审查目前在放射学中的AI应用.
- 讨论基于LLM的软件在放射实践中的潜在使用案例.
- 分析ChatGPT和类似算法如何影响放射学.
主要成果:
- 人工智能,包括LLM,为改善放射学提供了巨大的潜力.
- 应用范围从行政任务到临床解释支持.
- 在放射学中,LLM可以提高效率和患者的治疗结果.
结论:
- 大型语言模型 (LLM) 代表了放射学AI的一个有希望的前沿.
- 整合这些先进的NLP工具可以优化放射科医生的工作流程并改善患者护理.
- 对LLM应用的进一步探索是有必要的,以充分利用它们在医学成像中的好处.
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