大型人工智能模型在放射学中应用的机遇与挑战

Liangrui Pan , Zhenyu Zhao , Ying Lu , Kewei Tang , Liyong Fu , Qingchun Liang , Shaoliang Peng
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引用次数: 0

摘要

受 ChatGPT 的影响,人工智能(AI)大型模型在全球掀起了大型模型研发的热潮。随着人们享受到人工智能大模型带来的便利,越来越多细分领域的大模型逐渐被提出,尤其是放射影像领域的大模型。本文首先介绍了大型模型的发展历程、技术细节、工作流程、多模态大型模型的工作原理以及视频生成大型模型的工作原理。其次,总结了人工智能大模型在放射学教育、放射学报告生成、单模态和多模态放射学应用等方面的最新研究进展。最后,本文还总结了人工智能大模型在放射学领域的一些挑战,以期更好地推动放射学领域的快速变革。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Opportunities and challenges in the application of large artificial intelligence models in radiology

Influenced by ChatGPT, artificial intelligence (AI) large models have witnessed a global upsurge in large model research and development. As people enjoy the convenience by this AI large model, more and more large models in subdivided fields are gradually being proposed, especially large models in radiology imaging field. This article first introduces the development history of large models, technical details, workflow, working principles of multimodal large models and working principles of video generation large models. Secondly, we summarize the latest research progress of AI large models in radiology education, radiology report generation, applications of unimodal and multimodal radiology. Finally, this paper also summarizes some of the challenges of large AI models in radiology, with the aim of better promoting the rapid revolution in the field of radiography.

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