Unlocking the Power of ChatGPT, Artificial Intelligence, and Large Language Models: Practical Suggestions for Radiation Oncologists

被引：5
|
作者：
Waters, Michael R. [1 ]
Aneja, Sanjay [2 ]
Hong, Julian C. [3 ,4 ]
机构：
[1] Washington Univ, Sch Med, Dept Radiat Oncol, St Louis, MO USA
[2] Yale Sch Med, Dept Radiat Oncol, New Haven, CT USA
[3] Univ Calif San Francisco, Dept Radiat Oncol, San Francisco, CA 94115 USA
[4] Univ Calif San Francisco, Bakar Computat Hlth Sci Inst, San Francisco, CA 94115 USA
来源：
PRACTICAL RADIATION ONCOLOGY | 2023年 / 13卷 / 06期
基金：
美国国家卫生研究院; 美国国家科学基金会; 美国医疗保健研究与质量局;
关键词：
D O I：
10.1016/j.prro.2023.06.011
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Recent advances in artificial intelligence (AI), such as generative AI and large language models (LLMs), have generated significant excitement about the potential of AI to revolutionize our lives, work, and interaction with technology. This article explores the practical applications of LLMs, particularly ChatGPT, in the field of radiation oncology. We offer a guide on how radiation oncologists can interact with LLMs like ChatGPT in their routine clinical and administrative tasks, highlighting potential use cases of the present and future. We also highlight limitations and ethical considerations, including the current state of LLMs in decision making, protection of sensitive data, and the important role of human review of AI-generated content.(c) 2023 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码：E484 / E490
页数：7
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