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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'.

作者信息

Nakaura Takeshi, Hirai Toshinori

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.

出版信息

Jpn J Radiol. 2024 Sep;42(9):1085-1086. doi: 10.1007/s11604-024-01626-z. Epub 2024 Jul 13.

DOI:10.1007/s11604-024-01626-z
PMID:39002023
Abstract
摘要

相似文献

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”
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2
Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations.人工智能在放射学中的应用：来自GPT生成报告及多模态语言模型在欧洲放射学会考试中表现的见解
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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”
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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。
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引用本文的文献

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Generative AI and large language models in nuclear medicine: current status and future prospects.生成式人工智能和核医学中的大语言模型：现状与未来展望。
Ann Nucl Med. 2024 Nov;38(11):853-864. doi: 10.1007/s12149-024-01981-x. Epub 2024 Sep 25.
2
Preliminary assessment of TNM classification performance for pancreatic cancer in Japanese radiology reports using GPT-4.使用GPT-4对日本放射学报告中胰腺癌的TNM分类性能进行初步评估。
Jpn J Radiol. 2025 Jan;43(1):51-55. doi: 10.1007/s11604-024-01643-y. Epub 2024 Aug 20.
3
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'.

本文引用的文献

1
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.
2
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.
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.
4
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.
5
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.