Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

14
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
14

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A new era in carotid prevention - critical appraisal of the CREST-2 results.

VASA. Zeitschrift fur Gefasskrankheiten·2026
Same author

Reply to: Re: CREST-2 Means Crescendo?

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2026
Same author

What Are the Indications for Drug Eluting Technology in Peripheral Artery Disease Management?

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2026
Same author

Editor's Choice - Focused Update on Paclitaxel Coated Technologies, from the 2024 European Society for Vascular Surgery (ESVS) Guidelines on the Management of Asymptomatic Peripheral Arterial Disease and Intermittent Claudication.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2026
Same author

Evidence for Female Patient Disadvantage after Endovascular Aortic Repair in the Quality Registry of the German Society for Vascular Surgery and Vascular Medicine (DGG).

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2026
Same author

Simple and Effective Techniques to Minimise Contrast Dosage During Infrarenal Endovascular Aneurysm Repair.

EJVES vascular forum·2026
Same journal

Management decisions for patients with chronic limb-threatening ischemia in 2026.

Seminars in vascular surgery·2026
Same journal

A critical analysis of the Carotid Revascularization and Medical Management for Asymptomatic Carotid Stenosis Trial (CREST-2) and the European Carotid Surgery Trial (ECST)-2.

Seminars in vascular surgery·2026
Same journal

Operationalizing patient and stakeholder engagement in high-acuity trials: Lessons from IMPROVE-AD.

Seminars in vascular surgery·2026
Same journal

Lost to follow-up: A narrative review of socioeconomic, psychosocial, and systemic barriers to aortic dissection surveillance.

Seminars in vascular surgery·2026
Same journal

Regulatory oversight, innovation, and access in aortic dissection care: The evolving roles of the US Food and Drug Administration and Centers for Medicare & Medicaid Services.

Seminars in vascular surgery·2026
Same journal

What is the best thoracic endovascular aortic repair landing zone for Type B aortic dissection?

Seminars in vascular surgery·2026
See all related articles

Related Experiment Video

Updated: Jul 12, 2025

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

8.3K

Artificial intelligence-based predictive models in vascular diseases.

Fabien Lareyre1, Arindam Chaudhuri2, Christian-Alexander Behrendt3

  • 1Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France; Université Côte d'Azur, INSERM U1065, C3M, Nice, France.

Seminars in Vascular Surgery
|October 20, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers new tools for predicting outcomes in vascular diseases like aortic aneurysm and carotid stenosis. These machine learning models promise to advance precision medicine, though clinical integration faces challenges.

Keywords:
Aortic diseaseArtificial intelligenceCarotid stenosisLower extremity arterial diseaseMachine learningPeripheral artery diseasePredictive modelVascular disease

More Related Videos

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
07:25

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia

Published on: September 22, 2020

3.4K
Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research
07:26

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Published on: September 15, 2023

1.7K

Related Experiment Videos

Last Updated: Jul 12, 2025

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

8.3K
Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
07:25

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia

Published on: September 22, 2020

3.4K
Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research
07:26

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Published on: September 15, 2023

1.7K

Area of Science:

  • Cardiovascular Medicine
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Cardiovascular diseases remain a leading cause of global morbidity and mortality.
  • Advances in personalized medicine require improved tools for individual prognosis prediction.
  • Artificial intelligence (AI) and machine learning (ML) offer novel approaches to analyze complex health data.

Purpose of the Study:

  • To review the application of AI-based prediction models in vascular diseases.
  • To focus on aortic aneurysm, lower extremity arterial disease, and carotid stenosis.
  • To discuss the potential of AI in advancing precision medicine for vascular conditions.

Main Methods:

  • Literature review of AI and machine learning applications in vascular disease prediction.
  • Analysis of studies focusing on aortic aneurysm, lower extremity arterial disease, and carotid stenosis.
  • Discussion of challenges in integrating AI predictive models into clinical practice.

Main Results:

  • AI, particularly ML, can identify complex patterns in health data for cardiovascular medicine.
  • AI models show potential for predicting outcomes in specific vascular diseases.
  • The review highlights the benefits of AI for personalized and precision medicine approaches.

Conclusions:

  • AI-based prediction models hold significant promise for improving patient outcomes in vascular diseases.
  • Further development is needed to overcome challenges for widespread clinical adoption of AI in vascular medicine.
  • AI can facilitate the transition towards precision medicine in the management of vascular conditions.