面向未来的放射学阅览室:利用像ChatGPT这样的大型语言模型的力量。

Charit Tippareddy, Sirui Jiang, Kaustav Bera, Nikhil Ramaiya
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引用次数: 2

摘要

放射学通常是处于技术进步前沿的医学领域,通常是第一个全心全意接受技术进步的领域。无论是从数字化到云端架构,放射学都引领着采用最新进展。随着大型语言模型(LLM)的出现,特别是免费提供的ChatGPT的空前激增,放射学和放射科医生找到使用该技术改进工作流程的新方法的时机已经成熟。为此,我们相信这些LLM在放射学阅览室中发挥着关键作用,不仅可以加快流程,简化平凡和陈旧的任务,还可以更快地增加放射科医生和放射科医生实习生的知识库。在这篇文章中,我们讨论了我们相信ChatGPT的一些方法,以及在阅览室中可以利用的类似方法。
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Radiology Reading Room for the Future: Harnessing the Power of Large Language Models Like ChatGPT.

Radiology has usually been the field of medicine that has been at the forefront of technological advances, often being the first to wholeheartedly embrace them. Whether it's from digitization to cloud side architecture, radiology has led the way for adopting the latest advances. With the advent of large language models (LLMs), especially with the unprecedented explosion of freely available ChatGPT, time is ripe for radiology and radiologists to find novel ways to use the technology to improve their workflow. Towards this, we believe these LLMs have a key role in the radiology reading room not only to expedite processes, simplify mundane and archaic tasks, but also to increase the radiologist's and radiologist trainee's knowledge base at a far faster pace. In this article, we discuss some of the ways we believe ChatGPT, and the likes can be harnessed in the reading room.

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