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

Radiomics Applicability Domain Analysis Classification Framework (RADAN-CF): A method for evaluating prediction reliability in radiomics.

Computer methods and programs in biomedicine·2026
Same author

Distinguishing Gait Patterns in PD Patients Under Different Treatments via Recurrence Plots and Vision Transformer Fusion.

IEEE open journal of engineering in medicine and biology·2026
Same author

An Overview of Stress Analysis Based on Physiological Signals: Systematic Review of Open Datasets and Current Trends.

Sensors (Basel, Switzerland)·2025
Same author

Utilizing Machine Learning for the Identification of Pre-Treatment Prognostic Non-Imaging Biomarkers of Cancer Therapy-Related Cardiac Dysfunction in Female Patients with Breast Cancer<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Explainable AI Radiomics in Prostate Cancer Aggressiveness Prediction using different quantitative Diffusion MRI models.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Unveiling Predictors of Parkinson's Disease Progression: A Machine Learning Approach with Questionnaire and Wearable Device Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jul 8, 2025

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
09:16

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

Published on: April 5, 2019

10.7K

一个完全基于变压器的框架,用于使用视频进行自动疼痛评估.

Stefanos Gkikas, Manolis Tsiknakis

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一个新的AI框架,用于使用先进的变压器模型进行自动疼痛估计. 该系统在从视频中评估疼痛水平方面取得了最高的性能,改善了患者的护理.

    更多相关视频

    Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
    05:49

    Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

    Published on: November 1, 2024

    818
    Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
    09:38

    Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

    Published on: April 14, 2016

    12.7K

    相关实验视频

    Last Updated: Jul 8, 2025

    Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
    09:16

    Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

    Published on: April 5, 2019

    10.7K
    Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
    05:49

    Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

    Published on: November 1, 2024

    818
    Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
    09:38

    Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

    Published on: April 14, 2016

    12.7K

    科学领域:

    • 人工智能的人工智能
    • 医疗信息学 医疗信息学
    • 计算机视觉 计算机视觉

    背景情况:

    • 准确的疼痛评估对于有效的疼痛管理系统至关重要.
    • 目前用于疼痛估计的方法可以是主观的和劳动密集的.
    • 开发客观的,自动化疼痛检测是一个重要的临床需求.

    研究的目的:

    • 为自动疼痛估计提供一种新的深度学习框架.
    • 在一个基准疼痛数据集上评估这个框架的性能.
    • 证明该系统在疼痛评估中的有效性,效率和通用性.

    主要方法:

    • 利用一个完全基于变压器的框架,结合了变压器中的变压器 (TNT) 模型.
    • 采用第二个变压器,利用交叉注意力和自我注意力机制.
    • 使用来自BioVid数据库的视频数据训练和评估模型.

    主要成果:

    • 在自动疼痛估计任务中实现了最先进的性能.
    • 在从视觉线索准确识别疼痛水平方面表现出高效率.
    • 在不同疼痛评估场景中展示了效率和强大的概括能力.

    结论:

    • 拟议的基于变压器的框架为客观疼痛估计提供了强大的解决方案.
    • 这项技术有可能显著增强疼痛管理系统.
    • 该模型的概括能力表明它在临床环境中具有广泛的适用性.