From Data to Decisions: AI in Varicose Veins—Predicting, Diagnosing, and Guiding Effective Management

From Data to Decisions: AI in Varicose Veins—Predicting, Diagnosing, and Guiding Effective Management

Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency and decision-making, particularly in managing VVs through imp...

Full description

Saved in:
Bibliographic Details
Main Authors: Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal, Jaspreet Kumar, Naghmeh Asadimanesh, Surbhi Dadwal, Vibhor Ahluwalia, Sidhartha Gautam Senapati, Shivaram P. Arunachalam
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Journal of Vascular Diseases
Subjects:
artificial intelligence
varicose veins
chronic venous insufficiency
machine learning
deep learning
Online Access:https://www.mdpi.com/2813-2475/4/2/19
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items