• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Response to letter to the editor from Dr. Muhammed Said Beşler: 'the accuracy of large language models in RANZCR's clinical radiology exam sample questions'.

作者信息

Nakaura Takeshi, Naganawa Shinji

机构信息

Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto-shi, Kumamoto, 860-8556, Japan.

Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

出版信息

Jpn J Radiol. 2024 Sep;42(9):1081-1082. doi: 10.1007/s11604-024-01594-4. Epub 2024 May 24.

DOI:10.1007/s11604-024-01594-4
PMID:38789910
Abstract
摘要

相似文献

1
Response to letter to the editor from Dr. Muhammed Said Beşler: 'the accuracy of large language models in RANZCR's clinical radiology exam sample questions'.对穆罕默德·赛义德·贝什勒博士致编辑信的回复:“大语言模型在RANZCR临床放射学考试样题中的准确性”
Jpn J Radiol. 2024 Sep;42(9):1081-1082. doi: 10.1007/s11604-024-01594-4. Epub 2024 May 24.
2
The accuracy of large language models in RANZCR's clinical radiology exam sample questions.大语言模型在RANZCR临床放射学考试样题中的准确性。
Jpn J Radiol. 2024 Sep;42(9):1080. doi: 10.1007/s11604-024-01574-8. Epub 2024 Apr 16.
3
Response to Letter to the Editor from Muhammed Said Beşler et al.: "The Performance of the Multimodal Large Language Model GPT-4 on the European Board of Radiology Examination Sample Test".对穆罕默德·赛义德·贝什勒等人致编辑信的回复:“多模态大语言模型GPT-4在欧洲放射学会考试样题测试中的表现”
Jpn J Radiol. 2024 Aug;42(8):928. doi: 10.1007/s11604-024-01577-5. Epub 2024 May 2.
4
Assessing the diagnostic performance of large language models with European Diploma in Musculoskeletal Radiology (EDiMSK) examination sample questions.使用欧洲肌肉骨骼放射学文凭(EDiMSK)考试样题评估大语言模型的诊断性能。
Jpn J Radiol. 2024 Jun;42(6):673-674. doi: 10.1007/s11604-024-01548-w. Epub 2024 Feb 26.
5
Reply to "Assessing the diagnostic performance of large language models with European Diploma in Musculoskeletal Radiology (EDiMSK) examination sample questions".对“使用欧洲肌肉骨骼放射学文凭(EDiMSK)考试样题评估大语言模型的诊断性能”的回复
Jpn J Radiol. 2024 Jun;42(6):675-676. doi: 10.1007/s11604-024-01556-w. Epub 2024 Mar 15.
6
The performance of the multimodal large language model GPT-4 on the European board of radiology examination sample test.多模态大语言模型GPT-4在欧洲放射学会考试样本测试中的表现。
Jpn J Radiol. 2024 Aug;42(8):927. doi: 10.1007/s11604-024-01565-9. Epub 2024 Apr 3.
7
Diagnostic Accuracy of Large Language Models in the European Board of Interventional Radiology Examination (EBIR) Sample Questions.大型语言模型在欧洲介入放射学委员会考试(EBIR)样题中的诊断准确性。
Cardiovasc Intervent Radiol. 2024 Jun;47(6):836-837. doi: 10.1007/s00270-024-03674-4. Epub 2024 Feb 22.
8
How well do large language model-based chatbots perform in oral and maxillofacial radiology?基于大型语言模型的聊天机器人在口腔颌面放射学中的表现如何?
Dentomaxillofac Radiol. 2024 Sep 1;53(6):390-395. doi: 10.1093/dmfr/twae021.
9
Llama 3 Challenges Proprietary State-of-the-Art Large Language Models in Radiology Board-style Examination Questions.在放射学委员会风格的考试问题中,骆驼模型3挑战了专有的最先进大语言模型。
Radiology. 2024 Aug;312(2):e241191. doi: 10.1148/radiol.241191.
10
Authors' Response: The Accuracy of the Multimodal Large Language Model GPT-4 on Sample Questions From the Interventional Radiology Board Examination.作者回复:多模态大语言模型GPT-4在介入放射学委员会考试样题上的准确性
Acad Radiol. 2024 Aug;31(8):3477. doi: 10.1016/j.acra.2024.05.025. Epub 2024 Jun 21.

引用本文的文献

1
Comparing the Diagnostic Performance of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and Radiologists in Challenging Neuroradiology Cases.比较基于 GPT-4 的 ChatGPT、基于 GPT-4V 的 ChatGPT 和放射科医生在神经放射学挑战性病例中的诊断性能。
Clin Neuroradiol. 2024 Dec;34(4):779-787. doi: 10.1007/s00062-024-01426-y. Epub 2024 May 28.

本文引用的文献

1
Response to Letter to the Editor from Partha Pratim Ray: 'Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations'.对帕尔塔·普拉蒂姆·雷致编辑信的回复:“放射学中整合人工智能:来自GPT生成报告及多模态语言模型在欧洲放射学委员会考试中表现的见解”
Jpn J Radiol. 2024 Sep;42(9):1085-1086. doi: 10.1007/s11604-024-01626-z. Epub 2024 Jul 13.
2
The prognostic role of perirenal fat tissue in non-metastatic renal cell carcinoma.肾周脂肪组织在非转移性肾细胞癌中的预后作用。
Jpn J Radiol. 2024 Nov;42(11):1262-1269. doi: 10.1007/s11604-024-01609-0. Epub 2024 Jun 10.
3
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.
4
Preliminary assessment of automated radiology report generation with generative pre-trained transformers: comparing results to radiologist-generated reports.基于生成式预训练转换器的自动化放射学报告生成的初步评估:与放射科医生生成的报告进行比较。
Jpn J Radiol. 2024 Feb;42(2):190-200. doi: 10.1007/s11604-023-01487-y. Epub 2023 Sep 15.
5
Fairness of artificial intelligence in healthcare: review and recommendations.人工智能在医疗保健中的公平性:综述与建议。
Jpn J Radiol. 2024 Jan;42(1):3-15. doi: 10.1007/s11604-023-01474-3. Epub 2023 Aug 4.