A review on the current applications of artificial intelligence in chronic venous insufficiency

Objective: Chronic venous insufficiency (CVI) is a global health concern that produces a significant burden for patients and health care systems. Artificial intelligence (AI) applications are revolutionizing medicine by analyzing large data to make predictions to optimize care. This study aims to su...

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Main Authors: Michael C. Wilkinson, MD, Andrew Ayad, MD, Sharon C. Kiang, MD, Mary L. Grewal, DO
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:JVS-Vascular Insights
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2949912725000789
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author Michael C. Wilkinson, MD
Andrew Ayad, MD
Sharon C. Kiang, MD
Mary L. Grewal, DO
author_facet Michael C. Wilkinson, MD
Andrew Ayad, MD
Sharon C. Kiang, MD
Mary L. Grewal, DO
author_sort Michael C. Wilkinson, MD
collection DOAJ
description Objective: Chronic venous insufficiency (CVI) is a global health concern that produces a significant burden for patients and health care systems. Artificial intelligence (AI) applications are revolutionizing medicine by analyzing large data to make predictions to optimize care. This study aims to summarize the current literature on ongoing applications of AI in CVI and provide awareness for future directions of AI in CVI management. Methods: A narrative review of all full-text articles evaluating AI-based interventions in CVI from inception to 2025 was performed. Results: AI applications in chronic venous disease have demonstrated improvements in understanding disease pathophysiology, predicting risk factors for the development of varicose veins, and determining which patients would benefit from interventions. Automated noninvasive thermal imaging analysis using computer vision may augment diagnosis and reduce health care delivery burden. Conclusions: Proof-of-concept applications of AI in chronic venous disease have demonstrated important utility of machine language models to accurately benefit patient care. Future focused studies are warranted to further validate machine language models to augment CVI management paradigms and streamline health care delivery.
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spelling doaj-art-9551bb0e85d24d51a7d0616a6ca979e02025-08-20T02:57:59ZengElsevierJVS-Vascular Insights2949-91272025-01-01310026110.1016/j.jvsvi.2025.100261A review on the current applications of artificial intelligence in chronic venous insufficiencyMichael C. Wilkinson, MD0Andrew Ayad, MD1Sharon C. Kiang, MD2Mary L. Grewal, DO3Division of Vascular Surgery, Department of Surgery, Loma Linda University School of Medicine, Loma Linda, CA; Center for Artificial Intelligence and Vascular Engineering, Division of Vascular Surgery, Department of Surgery, VA Loma Linda Healthcare System, Loma Linda, CADivision of Vascular Surgery, Department of Surgery, Loma Linda University School of Medicine, Loma Linda, CACenter for Artificial Intelligence and Vascular Engineering, Division of Vascular Surgery, Department of Surgery, VA Loma Linda Healthcare System, Loma Linda, CA; Division of Vascular Surgery, Department of Surgery, VA Loma Linda Healthcare System, Loma Linda, CADivision of Vascular Surgery, Department of Surgery, VA Loma Linda Healthcare System, Loma Linda, CA; Correspondence: Mary L. Grewal, DO, Department of Surgery, Division of Vascular Surgery, VA Loma Linda Healthcare System, 11201 Benton St, Loma Linda, CA 92357Objective: Chronic venous insufficiency (CVI) is a global health concern that produces a significant burden for patients and health care systems. Artificial intelligence (AI) applications are revolutionizing medicine by analyzing large data to make predictions to optimize care. This study aims to summarize the current literature on ongoing applications of AI in CVI and provide awareness for future directions of AI in CVI management. Methods: A narrative review of all full-text articles evaluating AI-based interventions in CVI from inception to 2025 was performed. Results: AI applications in chronic venous disease have demonstrated improvements in understanding disease pathophysiology, predicting risk factors for the development of varicose veins, and determining which patients would benefit from interventions. Automated noninvasive thermal imaging analysis using computer vision may augment diagnosis and reduce health care delivery burden. Conclusions: Proof-of-concept applications of AI in chronic venous disease have demonstrated important utility of machine language models to accurately benefit patient care. Future focused studies are warranted to further validate machine language models to augment CVI management paradigms and streamline health care delivery.http://www.sciencedirect.com/science/article/pii/S2949912725000789Artificial intelligenceChronic venous insufficiencyMachine learningVaricose veinsVascular surgery
spellingShingle Michael C. Wilkinson, MD
Andrew Ayad, MD
Sharon C. Kiang, MD
Mary L. Grewal, DO
A review on the current applications of artificial intelligence in chronic venous insufficiency
JVS-Vascular Insights
Artificial intelligence
Chronic venous insufficiency
Machine learning
Varicose veins
Vascular surgery
title A review on the current applications of artificial intelligence in chronic venous insufficiency
title_full A review on the current applications of artificial intelligence in chronic venous insufficiency
title_fullStr A review on the current applications of artificial intelligence in chronic venous insufficiency
title_full_unstemmed A review on the current applications of artificial intelligence in chronic venous insufficiency
title_short A review on the current applications of artificial intelligence in chronic venous insufficiency
title_sort review on the current applications of artificial intelligence in chronic venous insufficiency
topic Artificial intelligence
Chronic venous insufficiency
Machine learning
Varicose veins
Vascular surgery
url http://www.sciencedirect.com/science/article/pii/S2949912725000789
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