Tippareddy Charit, Jiang Sirui, Bera Kaustav, Ramaiya Nikhil
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH.
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH.
Curr Probl Diagn Radiol. 2023 Aug 30. doi: 10.1067/j.cpradiol.2023.08.018.
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.
放射学通常一直是医学领域中处于技术进步前沿的领域，常常率先全心全意地接纳这些技术。从数字化到云端架构，放射学在采用最新进展方面一直引领潮流。随着大语言模型（LLMs）的出现，尤其是随着免费可用的ChatGPT前所未有的爆发式发展，放射学和放射科医生找到利用该技术改进其工作流程的新方法的时机已经成熟。为此，我们认为这些大语言模型在放射学阅片中不仅能加快流程、简化平凡且陈旧的任务，还能以快得多的速度增加放射科医生和放射科实习医生的知识库。在本文中，我们讨论了一些我们认为可以在阅片中利用ChatGPT之类工具的方法。
