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

Exercise and Cardiac Output01:17

Exercise and Cardiac Output

3.8K
Regular physical activity is essential for maintaining cardiovascular health, with aerobic exercises being particularly effective. According to the American Heart Association, 150 minutes of moderate to intense aerobic exercise per week is recommended for a healthy heart. Aerobic activities may include brisk walking, running, bicycling, cross-country skiing, and swimming, ideally performed three to five times per week.
Sustained exercise increases the muscles' oxygen demand, which can be...
3.8K
Pulmonary Function Tests01:25

Pulmonary Function Tests

1.2K
Pulmonary Function Tests (PFTs)
Pulmonary Function Tests are crucial diagnostic tools for assessing respiratory function, particularly in patients with chronic respiratory disorders. They comprehensively evaluate lung volumes, ventilatory function, breathing mechanics, diffusion, and gas exchange. These tests help diagnose pulmonary diseases and play a significant role in monitoring disease progression, evaluating disability, and assessing response to therapy.
PFTs involve using a spirometer, a...
1.2K

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

An artificial intelligence model to detect abnormal ejection fraction from non-contrast chest computed tomography: the CT-LVEF study.

European heart journal. Digital health·2026
Same author

Integrating trust into artificial intelligence for medicine: using diabetes as the exemplar disease.

Journal of translational medicine·2026
Same author

Bridging the Gap: Consensus-Based Considerations for AI Usefulness in Healthcare.

The American journal of bioethics : AJOB·2026
Same author

A molecular reappraisal of quilty lesions: Insights from tissue and circulating biomarkers in heart transplantation.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation·2026
Same author

Enhanced detection of antibody-mediated rejection using the tissue-based Molecular Microscope Diagnostic System (MMDx).

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation·2025
Same author

Novel Artificial Intelligence Applications in Heart Transplantation.

The Canadian journal of cardiology·2025
Same journal

Artificial intelligence for scoliosis surgical planning and postoperative prediction.

NPJ digital medicine·2026
Same journal

Enhancing anatomical recognition by surgeons during pelvic lymph node dissection using artificial intelligence.

NPJ digital medicine·2026
Same journal

AFP assistant: a retrieval-augmented generation and large language model-powered multilingual polio chatbot for low-resource language communities.

NPJ digital medicine·2026
Same journal

Structured reasoning failures compromise LLM interpretation of clinical oncology notes.

NPJ digital medicine·2026
Same journal

Translation of frozen sections into FFPE images for skin cancer resection margins using generative AI.

NPJ digital medicine·2026
Same journal

FedFound: a federated foundation model for lifespan brain morphological connectome analysis.

NPJ digital medicine·2026
查看所有相关文章

相关实验视频

Updated: May 5, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

21.0K

多模式多实例学习用于心肺运动测试性能预测.

Zhe Huang1, Weishen Pan1, Shudhanshu Alishetti2

  • 1Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA.

NPJ digital medicine
|March 3, 2026
PubMed
概括
此摘要是机器生成的。

一个新的AI框架使用心声图和健康记录预测心力衰竭 (HF) 患者的结果,改进了目前识别需要先进疗法的方法.

更多相关视频

Author Spotlight: Integrating Alveolar-Capillary Reserve Measurements in Exercise Adaptation and Therapeutic Strategies
08:44

Author Spotlight: Integrating Alveolar-Capillary Reserve Measurements in Exercise Adaptation and Therapeutic Strategies

Published on: February 2, 2024

1.5K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

1.3K

相关实验视频

Last Updated: May 5, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

21.0K
Author Spotlight: Integrating Alveolar-Capillary Reserve Measurements in Exercise Adaptation and Therapeutic Strategies
08:44

Author Spotlight: Integrating Alveolar-Capillary Reserve Measurements in Exercise Adaptation and Therapeutic Strategies

Published on: February 2, 2024

1.5K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

1.3K

科学领域:

  • 心脏病学 心脏病学
  • 人工智能的人工智能
  • 医疗成像医学成像

背景情况:

  • 心力衰竭 (HF) 影响着数百万人,患病率不断上升,预测工具有限.
  • 心肺运动检测 (CPET) 对于HF预后至关重要,但面临实际限制.
  • 准确预测功能能力对于指导HF治疗至关重要.

研究的目的:

  • 开发一种多式人工智能框架,从胸前心声学 (TTE) 和电子健康记录 (EHR) 中预测峰值氧气消耗 (峰值VO2).
  • 为了提高生存结果的预测,并识别高风险的HF患者.
  • 在临床实践中克服传统CPET的局限性.

主要方法:

  • 设计了一种多模式的多实例学习框架,以整合TTE和EHR数据.
  • 该模型特别解决了跨模式相互作用和TTE研究的多实例性质.
  • 基于R2进行高峰VO2预测和AUROC进行高风险患者鉴定.

主要成果:

  • 人工智能框架实现了0.603的R2峰值VO2预测,超过了以前的方法 (R2=0.529).
  • 它在识别高风险患者方面表现出强的表现,AUROC为0.849.
  • 与之前的工作相比,外部验证显示R2 = 0.541和AUROC = 0.870的优异结果.

结论:

  • 开发的AI框架为评估HF患者的功能能力和预后提供了更准确和更容易使用的方法.
  • 这种方法可以改善对符合先进心力衰竭治疗条件的患者的识别.
  • 该研究强调了使用先进的人工智能集成TTE和EHR数据的潜力,以更好地管理HF.