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

Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

133
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
133
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

2.0K
Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
2.0K

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

Proceedings from the 2025 Midwest Pediatric Device Consortium showcase featuring software as a medical device.

BMC proceedings·2026
Same author

Use of and Experience With Wearable Biosensors in Congenital Heart Disease: A Survey Study.

CJC pediatric and congenital heart disease·2026
Same author

White-matter connectivity shapes visual and semantic representations in the aging brain.

bioRxiv : the preprint server for biology·2026
Same author

Viral Co-infection in COVID-19: Prevalence and Clinical Associations of Human Pegivirus.

medRxiv : the preprint server for health sciences·2026
Same author

Hybrid rule-based and on-premises LLM pipeline for extracting CMR and CPET metrics from free-text reports in repaired tetralogy of Fallot.

medRxiv : the preprint server for health sciences·2026
Same author

Multi-View Biomedical Foundation Models for Molecule-Target and Property Prediction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

相关实验视频

Updated: May 30, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

15.1K

MiMICRI:向心血管图像分类模型的以域为中心的反事实解释.

Grace Guo1, Lifu Deng2, Animesh Tandon2

  • 1Georgia Institute of Technology Atlanta, Georgia, USA.

FAccT '24 : proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT '24) : June 3rd-6th 2024, Rio de Janeiro, Brazil. ACM Conference on Fairness, Accountability, and Transparency (2024 : Rio de Ja...
|January 29, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了MiMICRI,这是一种用于解释医疗成像中的人工智能 (AI) 的新工具. 它帮助专家通过专注于领域知识,提高信任和可解释性来验证AI心血管图像分析.

关键词:
反事实性的解释.可以解释的人工智能AI以人为中心的人工智能互动可视化 互动可视化

更多相关视频

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

426

相关实验视频

Last Updated: May 30, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

15.1K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

426

科学领域:

  • 心血管成像 - 心血管成像
  • 人工智能的人工智能
  • 可解释的人工智能

背景情况:

  • 大规模的医学成像数据集为心血管分析的AI提供了燃料.
  • 现有的可解释AI (XAI) 方法往往缺乏领域专家的投入和医疗背景.
  • 这种差距阻碍了AI在临床环境中的验证和可信度.

研究的目的:

  • 介绍MiMICRI,一个新的框架和Python库,用于心血管图像分类中的以域为中心的反事实解释.
  • 利用医学专业知识实现人工智能模型的交互式探索和验证.
  • 提高AI预测的解释性和临床相关性.

主要方法:

  • 开发MiMICRI Python库,用于创建以域为中心的反事实解释.
  • 互动选择和更换对应于形态结构的图像段.
  • 与两名医学专家一起对MiMICRI进行评估,以评估可解释性和临床可信性.

主要成果:

  • MiMICRI 通过允许专家使用领域知识进行推理来增强人工智能模型的解释性.
  • 以域为中心的XAI方法有助于在医学事实上验证AI预测.
  • 专家们对生成的反事实的临床可信性表示担忧.

结论:

  • 在MiMICRI中实现的以域为中心的XAI可以改善医疗保健中的AI解释性.
  • 需要进一步的研究,以解决反事实的临床可信性,以便更广泛地采用.
  • 在医疗成像中,MiMICRI框架为实现更具普遍性和可信度的AI提供了一条道路.