Exploring Artificial Intelligence Applications in Managing Cerebrovascular and Cardiovascular Diseases: A Bibliometric and Content Analysis

Abstract

The fast progression of artificial intelligence (AI) systems created massive changes to medical practice which improved diagnosis alongside treating and administrating cerebrovascular and cardiovascular diseases (CVDs). The study performs a bibliometric analysis in combination with content evaluation to show how AI applications help manage CVDs and cerebrovascular diseases. This study investigates publication patterns through author identification combined with research paper impact analysis to reveal prevalent themes and clinical deployment shortcomings. The study demonstrates the ability of artificial intelligence to help detect diseases early with enhanced personalized interventions as well as better prediction results for vital medical conditions. Data collection biases alongside ethical complexities and clinical practice integration obstacles continue to be major impediments for AI application success. The goal of this research is to present detailed analysis about AI's current state of practice in cerebrovascular and cardiovascular medical care while creating a foundation for both practical research and clinical development.