Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Evaluation of Large Language Models for Structured Data Extraction From Interstitial Lung Disease Clinical Notes: Comparative Study.

Journal of medical Internet research·2026
Same author

Evaluating the robustness and readiness of large frontier models in health AI applications.

Nature medicine·2026
Same author

Multimodal foundation models exploit text to make medical image predictions.

Nature communications·2026
Same author

The effects of anti-osteoporotic medication on fracture healing and outcomes: a systematic review and meta-analysis.

The lancet. Healthy longevity·2026
Same author

Prevalence, clinical significance and predictors of small intestinal bacterial overgrowth and elevated fecal calprotectin in refractory irritable bowel syndrome: Insights from a prospective cross-sectional study.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology·2026
Same author

A Case Illustrating Challenges: Early-Onset Signet Ring Cell Rectal Carcinoma With Fulminant Peritoneal Progression.

Clinical case reports·2026
Same journal

A Dataset with Bilingual TV Commands for Silent Speech Interfaces Using Electroencephalographic Signals.

Scientific data·2026
Same journal

BEAMSTER: Brain mEtAstases segMentation for STEreotactic Radiotherapy, A Retrospective MRI Dataset with Expert Segmentations.

Scientific data·2026
Same journal

Chromosomal-level genome assembly of Tetraponera attenuata (Hymenoptera: Formicidae).

Scientific data·2026
Same journal

High quality Chromosome-scale Genome Assembly of Phlebotomus perniciosus, a Vector of Zoonotic Leishmaniasis.

Scientific data·2026
Same journal

Characterisation Data of common pharmaceutical excipient Powders and Tablets for Formulation Development.

Scientific data·2026
Same journal

Chinese Electric Vehicle Policy Database: A Dataset of Policy Goals, Instruments, and Supply Chain Stages.

Scientific data·2026
查看所有相关文章

相关实验视频

Updated: May 15, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

744

了解放射科医生与人工智能合作的数据集

Alex Moehring1, Manasi Kutwal2, Ray Huang2

  • 1Purdue University, Daniels School of Business, West Lafayette, IN, 47907, US. moehring@purdue.edu.

Scientific data
|May 3, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了Collab-CXR,这是一个大型数据集,用于人类-AI在胸部X射线解释方面的合作. 它揭示了放射科医生如何使用人工智能,影响诊断准确性和效率.

更多相关视频

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.1K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.3K

相关实验视频

Last Updated: May 15, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

744
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.1K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.3K

科学领域:

  • 医疗成像医学成像
  • 医疗保健中的人工智能
  • 放射学 放射学是一门学科.

背景情况:

  • 胸部X射线的解释是复杂的,有可能需要人工智能协助.
  • 了解人与人工智能的协作对于将人工智能集成到临床工作流程中至关重要.
  • 现有的数据集缺乏全面的协作性能比较.

研究的目的:

  • 介绍Collab-CXR数据集,这是研究人与人工智能在胸部X射线解释方面的合作的新型资源.
  • 提供有关放射科医生在人工智能辅助和无人工智能辅助的情况下和临床病史方面的数据.
  • 为了研究影响协作有效性和诊断结果的因素.

主要方法:

  • 通过实验收集了227名放射科医生的数据,评估了324个历史性胸部X射线病例.
  • 利用自定义界面对104种胸部病理进行概率评估.
  • 多种信息条件:人工智能协助 (是/否) 和临床病史 (是/否).

主要成果:

  • Collab-CXR是最大的数据集,比较人类-人工智能协作性能与人类或人工智能单独在放射学.
  • 丰富的元数据包括放射科医生的特征和决策过程.
  • 数据支持对各种研究问题的学科内部和学科间分析.

结论:

  • 科拉布-CXR数据集有助于对医疗成像中人-人工智能集成的严格调查.
  • 调查结果可以为AI工具开发,实施策略和优化协作工作流提供信息.
  • 最终的目标是通过提高诊断准确性和效率来改善患者护理.