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：本研究探讨了大型语言模型（LLMs），如OpenAI的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，正增强放射科医生的解读技能、改善医患沟通效率，并优化临床工作流程。本文提出一个分析框架，用于呈现大型语言模型与医学影像领域更广泛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）之间的复杂互动。通过详细分析、示例性应用案例以及对其更广泛影响和未来方向的探讨，本视角旨在推动人工智能赋能医疗时代的战略规划与决策讨论。