• 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

Performance of a Large Language Model on Practice Questions for the Neonatal Board Examination.

作者信息

Beam Kristyn, Sharma Puneet, Kumar Bhawesh, Wang Cindy, Brodsky Dara, Martin Camilia R, Beam Andrew

机构信息

Department of Neonatology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Division of Newborn Medicine, Boston Children's Hospital, Boston, Massachusetts.

出版信息

JAMA Pediatr. 2023 Sep 1;177(9):977-979. doi: 10.1001/jamapediatrics.2023.2373.

DOI:10.1001/jamapediatrics.2023.2373
PMID:37459084
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10352922/
Abstract
摘要

相似文献

1
Performance of a Large Language Model on Practice Questions for the Neonatal Board Examination.大型语言模型在新生儿科专业考试练习题上的表现
JAMA Pediatr. 2023 Sep 1;177(9):977-979. doi: 10.1001/jamapediatrics.2023.2373.
2
Performance of a Large Language Model on Japanese Emergency Medicine Board Certification Examinations.大型语言模型在日本急诊医学委员会认证考试中的表现。
J Nippon Med Sch. 2024 May 21;91(2):155-161. doi: 10.1272/jnms.JNMS.2024_91-205. Epub 2024 Mar 2.
3
Performance of ChatGPT on Solving Orthopedic Board-Style Questions: A Comparative Analysis of ChatGPT 3.5 and ChatGPT 4.ChatGPT 在解决骨科 Board 风格问题方面的表现：ChatGPT 3.5 和 ChatGPT 4 的对比分析
Clin Orthop Surg. 2024 Aug;16(4):669-673. doi: 10.4055/cios23179. Epub 2024 Mar 7.
4
[ChatGPT and the German board examination for ophthalmology: an evaluation].[ChatGPT与德国眼科医师资格考试：一项评估]
Ophthalmologie. 2024 Jul;121(7):554-564. doi: 10.1007/s00347-024-02046-0. Epub 2024 May 27.
5
Board certification: an index to the specialty boards.委员会认证：专业委员会索引。
Resid Staff Physician. 1990 May;36(5):24-8, 31, 39 passim.
6
Performances of family practice diplomates on successive mandatory recertification examinations.家庭医学专科医生在连续的强制性再认证考试中的表现。
Acad Med. 1993 Dec;68(12):912-9. doi: 10.1097/00001888-199312000-00012.
7
The impact of parental leave on extending training and entering the board certification examination process: a specialty-based comparison.陪产假对延长培训及进入专科医师资格考试流程的影响：基于专业的比较
Mayo Clin Proc. 2006 Nov;81(11):1449-53. doi: 10.4065/81.11.1449.
8
ChatGPT Earns American Board Certification in Hand Surgery.ChatGPT 获得美国手部外科委员会认证。
Hand Surg Rehabil. 2024 Jun;43(3):101688. doi: 10.1016/j.hansur.2024.101688. Epub 2024 Mar 27.
9
Investigating the potential influence of established multiple-choice test-taking cues on item response in a pharmacotherapy board certification examination preparatory manual: a pilot study.在一份药物治疗委员会认证考试备考手册中，研究既定的多项选择题应试线索对题目作答的潜在影响：一项试点研究。
Pharmacotherapy. 2006 Apr;26(4):558-62. doi: 10.1592/phco.26.4.558.
10
Performance of GPT-4V in Answering the Japanese Otolaryngology Board Certification Examination Questions: Evaluation Study.GPT-4V 在回答日本耳鼻喉科学委员会认证考试问题方面的表现：评估研究。
JMIR Med Educ. 2024 Mar 28;10:e57054. doi: 10.2196/57054.

引用本文的文献

1
Assessing the adherence of large language models to clinical practice guidelines in Chinese medicine: a content analysis.评估大型语言模型对中医临床实践指南的遵循情况：一项内容分析
Front Pharmacol. 2025 Jul 25;16:1649041. doi: 10.3389/fphar.2025.1649041. eCollection 2025.
2
Dedicated AI Expert System vs Generative AI With Large Language Model for Clinical Diagnoses.用于临床诊断的专用人工智能专家系统与具有大语言模型的生成式人工智能对比
JAMA Netw Open. 2025 May 1;8(5):e2512994. doi: 10.1001/jamanetworkopen.2025.12994.
3
Large language models and clinical calculations: to err is human and machines are not exempt.大型语言模型与临床计算：人孰无过，机器亦难免。
Pediatr Res. 2025 May 28. doi: 10.1038/s41390-025-04166-y.
4
Artificial intelligence tools in supporting healthcare professionals for tailored patient care.支持医疗保健专业人员进行个性化患者护理的人工智能工具。
NPJ Digit Med. 2025 Apr 16;8(1):210. doi: 10.1038/s41746-025-01604-3.
5
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patients.在识别免疫抑制患者方面，大语言模型优于传统的基于结构化数据的方法。
medRxiv. 2025 Jan 17:2025.01.16.25320564. doi: 10.1101/2025.01.16.25320564.
6
ChatGPT Solving Complex Kidney Transplant Cases: A Comparative Study With Human Respondents.ChatGPT解决复杂肾移植病例：与人类应答者的对比研究
Clin Transplant. 2024 Oct;38(10):e15466. doi: 10.1111/ctr.15466.
7
Performance of Publicly Available Large Language Models on Internal Medicine Board-style Questions.公开可用的大语言模型在内科医师资格考试风格问题上的表现。
PLOS Digit Health. 2024 Sep 17;3(9):e0000604. doi: 10.1371/journal.pdig.0000604. eCollection 2024 Sep.
8
Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder.在识别强迫症方面，大语言模型的表现优于心理和医疗保健专业人员。
NPJ Digit Med. 2024 Jul 19;7(1):193. doi: 10.1038/s41746-024-01181-x.
9
Performance of Large Language Models on Medical Oncology Examination Questions.大语言模型在医学肿瘤学考试问题上的表现。
JAMA Netw Open. 2024 Jun 3;7(6):e2417641. doi: 10.1001/jamanetworkopen.2024.17641.
10
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.

本文引用的文献

1
The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study.GPT-3 人工智能模型的诊断和分诊准确性：一项观察性研究。
Lancet Digit Health. 2024 Aug;6(8):e555-e561. doi: 10.1016/S2589-7500(24)00097-9.
2
Machine Learning and Statistics in Clinical Research Articles-Moving Past the False Dichotomy.临床研究文章中的机器学习与统计学——超越错误的二分法
JAMA Pediatr. 2023 May 1;177(5):448-450. doi: 10.1001/jamapediatrics.2023.0034.
3
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models.ChatGPT在美国医师执照考试中的表现：使用大语言模型进行人工智能辅助医学教育的潜力。
PLOS Digit Health. 2023 Feb 9;2(2):e0000198. doi: 10.1371/journal.pdig.0000198. eCollection 2023 Feb.