| Tian Xin,An Ziheng,Duan Guangxin,et al.Exploration of application of ChatGPT in radiation medicine[J].Chinese Journal of Radiological Medicine and Protection,2023,43(7):554-558 |
| Exploration of application of ChatGPT in radiation medicine |
| Received:April 13, 2023 |
| DOI：10.3760/cma.j.cn112271-20230413-00118 |
| KeyWords:ChatGPT|Large language model|Artificial intelligence|Radiation medicine |
| FundProject:教育部产学合作协同育人项目(220906281131905) |
| Author Name | Affiliation | E-mail | | Tian Xin | School of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China | | | An Ziheng | School of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China | | | Duan Guangxin | School of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China | | | Wen Ling | Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China | wenling@suda.edu.cn |
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| Abstract:: |
| ChatGPT, as a high-profile generative large language model (LLM) of artificial intelligence(AI), brings people immersive learning experience and a unique interactive platform; meanwhile, it provides an innovative tool and new opportunities for the development in many fields. With the increasing importance of radiation medicine in disease diagnosis and treatment, manned spaceflight, and nuclear energy and nuclear technology, it can be foreseen that AI LLMs like ChatGPT will play an important role in the development of radiation medicine. This article reviews the application prospects and challenges of ChatGPT in radiation medicine, aiming to promote the application research of AI LLMs in radiation medicine. |
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