ChatGPT in radiology structured reporting: analysis of ChatGPT-3.5 Turbo and GPT-4 in reducing word count and recalling findings.
作者信息
Mallio Carlo A, Bernetti Caterina, Sertorio Andrea C, Zobel Bruno Beomonte
机构信息
Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
出版信息
Quant Imaging Med Surg. 2024 Feb 1;14(2):2096-2102. doi: 10.21037/qims-23-1300. Epub 2024 Jan 5.
Abstract
摘要
相似文献
1
ChatGPT in radiology structured reporting: analysis of ChatGPT-3.5 Turbo and GPT-4 in reducing word count and recalling findings.放射学结构化报告中的ChatGPT：分析ChatGPT-3.5 Turbo和GPT-4在减少字数和回忆检查结果方面的表现
Quant Imaging Med Surg. 2024 Feb 1;14(2):2096-2102. doi: 10.21037/qims-23-1300. Epub 2024 Jan 5.
2
Performance evaluation of ChatGPT, GPT-4, and Bard on the official board examination of the Japan Radiology Society.ChatGPT、GPT-4 和 Bard 在日本放射学会官方董事会考试中的表现评估。
Jpn J Radiol. 2024 Feb;42(2):201-207. doi: 10.1007/s11604-023-01491-2. Epub 2023 Oct 4.
3
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT.基于 GPT 的模型推动放射学革命：ChatGPT 的当前应用、未来可能性和局限性。
Diagn Interv Imaging. 2023 Jun;104(6):269-274. doi: 10.1016/j.diii.2023.02.003. Epub 2023 Feb 28.
4
Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing.用于放射科结构化报告的大型语言模型：GPT-4、ChatGPT-3.5、Perplexity 和 Bing 的性能。
Radiol Med. 2023 Jul;128(7):808-812. doi: 10.1007/s11547-023-01651-4. Epub 2023 May 29.
5
Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations.ChatGPT和GPT-4在神经外科笔试中的表现。
Neurosurgery. 2023 Dec 1;93(6):1353-1365. doi: 10.1227/neu.0000000000002632. Epub 2023 Aug 15.
6
Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations.ChatGPT 在巴西放射学和诊断影像学及乳腺 X 线摄影委员会考试中的表现。
Radiol Artif Intell. 2024 Jan;6(1):e230103. doi: 10.1148/ryai.230103.
7
Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports.ChatGPT、人类放射科医生和上下文感知 ChatGPT 在从放射报告中识别 AO 编码方面的表现。
Sci Rep. 2023 Aug 30;13(1):14215. doi: 10.1038/s41598-023-41512-8.
8
Can ChatGPT assist authors with abstract writing in medical journals? Evaluating the quality of scientific abstracts generated by ChatGPT and original abstracts.ChatGPT 能否协助医学期刊的作者撰写摘要？评估 ChatGPT 生成的科学摘要和原始摘要的质量。
PLoS One. 2024 Feb 14;19(2):e0297701. doi: 10.1371/journal.pone.0297701. eCollection 2024.
9
Performance of ChatGPT on the Peruvian National Licensing Medical Examination: Cross-Sectional Study.ChatGPT在秘鲁国家医学执照考试中的表现：横断面研究
JMIR Med Educ. 2023 Sep 28;9:e48039. doi: 10.2196/48039.
10
Accuracy of ChatGPT on Medical Questions in the National Medical Licensing Examination in Japan: Evaluation Study.ChatGPT在日本国家医师资格考试医学问题上的准确性：评估研究
JMIR Form Res. 2023 Oct 13;7:e48023. doi: 10.2196/48023.
引用本文的文献
1
ChatGPT and radiology report: potential applications and limitations.ChatGPT与放射学报告：潜在应用与局限性
Radiol Med. 2024 Dec;129(12):1849-1863. doi: 10.1007/s11547-024-01915-7. Epub 2024 Nov 7.
2
Large language models for structured reporting in radiology: past, present, and future.用于放射学结构化报告的大语言模型：过去、现在和未来。
Eur Radiol. 2025 May;35(5):2589-2602. doi: 10.1007/s00330-024-11107-6. Epub 2024 Oct 23.
3
Assessing ChatGPT's summarization of Ga PSMA PET/CT reports for patients.评估ChatGPT对患者Ga PSMA PET/CT报告的总结。
Abdom Radiol (NY). 2025 Mar;50(3):1467-1474. doi: 10.1007/s00261-024-04619-8. Epub 2024 Sep 30.
4
Preliminary experiments on interpretable ChatGPT-assisted diagnosis for breast ultrasound radiologists.针对乳腺超声放射科医生的可解释性ChatGPT辅助诊断的初步实验。
Quant Imaging Med Surg. 2024 Sep 1;14(9):6601-6612. doi: 10.21037/qims-24-141. Epub 2024 Aug 28.
5
GPT-4 to obtain Pfirrmann grade from lumbar spine magnetic resonance imaging (MRI) reports.使用GPT-4从腰椎磁共振成像（MRI）报告中获取Pfirrmann分级。
Quant Imaging Med Surg. 2024 Sep 1;14(9):7012-7017. doi: 10.21037/qims-24-883. Epub 2024 Aug 12.
6
Generative Large Language Models in Electronic Health Records for Patient Care Since 2023: A Systematic Review.2023年以来电子健康记录中用于患者护理的生成式大语言模型：一项系统综述
medRxiv. 2024 Aug 19:2024.08.11.24311828. doi: 10.1101/2024.08.11.24311828.
本文引用的文献
1
Large language models and structured reporting: never stop chasing critical thinking.大语言模型与结构化报告：永远不要停止追求批判性思维。
Radiol Med. 2023 Nov;128(11):1445-1446. doi: 10.1007/s11547-023-01711-9. Epub 2023 Sep 3.
2
Compared with CT/MRI LI-RADS, whether CEUS LI-RADS is worth popularizing in diagnosis of hepatocellular carcinoma?-a direct head-to-head meta-analysis.与CT/MRI肝脏影像报告和数据系统（LI-RADS）相比，对比增强超声（CEUS）肝脏影像报告和数据系统在肝细胞癌诊断中是否值得推广？——一项直接的头对头荟萃分析。
Quant Imaging Med Surg. 2023 Aug 1;13(8):4919-4932. doi: 10.21037/qims-22-1383. Epub 2023 May 24.
3
Radiology, structured reporting and large language models: who is running faster?放射学、结构化报告与大语言模型：谁跑得更快？
Radiol Med. 2023 Nov;128(11):1443-1444. doi: 10.1007/s11547-023-01689-4. Epub 2023 Jul 27.
4
The Potential Usefulness of ChatGPT in Oral and Maxillofacial Radiology.ChatGPT在口腔颌面放射学中的潜在用途
Cureus. 2023 Jul 19;15(7):e42133. doi: 10.7759/cureus.42133. eCollection 2023 Jul.
5
Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing.用于放射科结构化报告的大型语言模型：GPT-4、ChatGPT-3.5、Perplexity 和 Bing 的性能。
Radiol Med. 2023 Jul;128(7):808-812. doi: 10.1007/s11547-023-01651-4. Epub 2023 May 29.
6
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential.使用ChatGPT和GPT-4通过提示学习将放射学报告翻译成通俗易懂的语言：结果、局限性和潜力。
Vis Comput Ind Biomed Art. 2023 May 18;6(1):9. doi: 10.1186/s42492-023-00136-5.
7
Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study.利用GPT-4将自由文本放射学报告进行事后转换为结构化报告：一项多语言可行性研究。
Radiology. 2023 May;307(4):e230725. doi: 10.1148/radiol.230725. Epub 2023 Apr 4.
8
Nuclear Medicine from a Novel Perspective: Buvat and Weber Talk with OpenAI's ChatGPT.从全新视角看核医学：比瓦特与韦伯对话OpenAI的ChatGPT
J Nucl Med. 2023 Apr;64(4):505-507. doi: 10.2967/jnumed.123.265636. Epub 2023 Mar 23.
9
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT.基于 GPT 的模型推动放射学革命：ChatGPT 的当前应用、未来可能性和局限性。
Diagn Interv Imaging. 2023 Jun;104(6):269-274. doi: 10.1016/j.diii.2023.02.003. Epub 2023 Feb 28.
10
Structured reporting of computed tomography in the polytrauma patient assessment: a Delphi consensus proposal.计算机断层扫描在多发伤患者评估中的结构化报告：德尔菲共识建议。
Radiol Med. 2023 Feb;128(2):222-233. doi: 10.1007/s11547-023-01596-8. Epub 2023 Jan 19.
Zotero 插件