[医学影像中的生成人工智能和大型语言模型入门]。

Journal of the Korean Society of Radiology Pub Date : 2024-09-01 Epub Date: 2024-09-27 DOI:10.3348/jksr.2024.0066
Kiduk Kim, Gil-Sun Hong, Namkug Kim
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引用次数: 0

摘要

最近,大型语言模型(LLM)(如 ChatGPT)的出现引起了许多领域对生成式人工智能(AI)的关注。生成式人工智能可以生成不同类型的数据,包括文本、图像和语音,具体取决于所使用的训练方法和数据集。此外,多模态技术可同时处理文本和图像等多种数据类型,其最新进展扩大了在医疗环境中使用多模态生成式人工智能的潜力,因为在医疗环境中,各种类型的临床和成像信息会被同时使用。本综述总结了 LLM、图像生成式人工智能和多模态人工智能的概念和类型,并探讨了生成式人工智能在放射学领域的现状和未来的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging].

The recent advent of large language models (LLMs), such as ChatGPT, has drawn attention to generative artificial intelligence (AI) in a number of fields. Generative AI can produce different types of data including text, images, and voice, depending on the training methods and datasets used. Additionally, recent advancements in multimodal techniques, which can simultaneously process multiple data types like text and images, have expanded the potential of using multimodal generative AI in the medical environment where various types of clinical and imaging information are used together. This review summarizes the concepts and types of LLMs, image generative AI, and multimodal AI, and it examines the status and future possibilities of generative AI in the field of radiology.

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