ChatGPT: Can You Prepare My Patients for [18F]FDG PET/CT and Explain My Reports?

IF 9.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Julian M M Rogasch, Giulia Metzger, Martina Preisler, Markus Galler, Felix Thiele, Winfried Brenner, Felix Feldhaus, Christoph Wetz, Holger Amthauer, Christian Furth, Imke Schatka
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引用次数: 0

Abstract

We evaluated whether the artificial intelligence chatbot ChatGPT can adequately answer patient questions related to [18F]FDG PET/CT in common clinical indications before and after scanning. Methods: Thirteen questions regarding [18F]FDG PET/CT were submitted to ChatGPT. ChatGPT was also asked to explain 6 PET/CT reports (lung cancer, Hodgkin lymphoma) and answer 6 follow-up questions (e.g., on tumor stage or recommended treatment). To be rated "useful" or "appropriate," a response had to be adequate by the standards of the nuclear medicine staff. Inconsistency was assessed by regenerating responses. Results: Responses were rated "appropriate" for 92% of 25 tasks and "useful" for 96%. Considerable inconsistencies were found between regenerated responses for 16% of tasks. Responses to 83% of sensitive questions (e.g., staging/treatment options) were rated "empathetic." Conclusion: ChatGPT might adequately substitute for advice given to patients by nuclear medicine staff in the investigated settings. Improving the consistency of ChatGPT would further increase reliability.

ChatGPT:你能帮我的病人做FDG PET/CT检查并解释我的报告吗?
我们评估了人工智能聊天机器人ChatGPT是否能够在扫描前后充分回答患者与[18F]FDG PET/CT常见临床指征相关的问题。方法:向ChatGPT提交关于[18F]FDG PET/CT的13个问题。ChatGPT还被要求解释6个PET/CT报告(肺癌、霍奇金淋巴瘤),并回答6个随访问题(如肿瘤分期或推荐治疗)。要被评为“有用”或“适当”,反应必须符合核医学工作人员的标准。通过再生反应评估不一致性。结果:在25项任务中,92%的回答被评为“合适”,96%的回答被评为“有用”。在16%的任务中,重新生成的答案之间存在相当大的不一致性。对83%的敏感问题(例如,分期/治疗方案)的回答被评为“善解人意”。结论:ChatGPT可以充分替代核医学工作人员给患者的建议。提高ChatGPT的一致性将进一步提高可靠性。
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来源期刊
Journal of Nuclear Medicine
Journal of Nuclear Medicine 医学-核医学
CiteScore
13.00
自引率
8.60%
发文量
340
审稿时长
1 months
期刊介绍: The Journal of Nuclear Medicine (JNM), self-published by the Society of Nuclear Medicine and Molecular Imaging (SNMMI), provides readers worldwide with clinical and basic science investigations, continuing education articles, reviews, employment opportunities, and updates on practice and research. In the 2022 Journal Citation Reports (released in June 2023), JNM ranked sixth in impact among 203 medical journals worldwide in the radiology, nuclear medicine, and medical imaging category.
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