Opportunities and challenges in the application of large artificial
  intelligence models in radiology
Liangrui Pan Zhenyu Zhao Ying Lu Kewei Tang Liyong Fu Qingchun Liang Shaoliang Peng
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.