This study investigates the transformative potential of Large Language Models (LLMs), such as OpenAI ChatGPT, in medical imaging. With the aid of public data, these models, which possess remarkable language understanding and generation capabilities, are augmenting the interpretive skills of radiologists, enhancing patient-physician communication, and streamlining clinical workflows. The paper introduces an analytic framework for presenting the complex interactions between LLMs and the broader ecosystem of medical imaging stakeholders, including businesses, insurance entities, governments, research institutions, and hospitals (nicknamed BIGR-H). Through detailed analyses, illustrative use cases, and discussions on the broader implications and future directions, this perspective seeks to raise discussion in strategic planning and decision-making in the era of AI-enabled healthcare.

翻译：本研究探讨了大语言模型（LLMs），如OpenAI ChatGPT，在医学影像领域的变革潜力。借助公开数据，这些具备卓越语言理解与生成能力的模型，正在增强放射科医生的影像判读技能、改善医患沟通，并优化临床工作流程。本文提出一个分析框架，用以呈现LLMs与更广泛的医学影像利益相关者生态系统（包括企业、保险机构、政府、研究机构及医院，简称BIGR-H）之间的复杂交互作用。通过详细分析、示范性应用案例，以及对更广泛影响与未来方向的讨论，本文旨在引发关于AI赋能医疗时代战略规划与决策的讨论。