AI-Driven Early Detection of Cardiovascular Diseases: Reducing Healthcare Costs and improving patient Outcomes
Ahasan Ahmed, Albatoul Khaled, Muhammad Waqar, DrJavaid Akhtar Hashmi, Hazem AbdulKareem Alfanash, Wesam Taher Almagharbeh, Amine Hamdache, Ilias Elmouki
2025-06-09Management
Abstract
The main goal from this study is to discuss the main features of Artificial intelligence (AI) as well as their applicability for early cardiovascular Disease (CVDs) Detection, Material and Method : Systematic review approach Results : It was seen that integrating AI algorithm the diagnosis of CVDs become more accurate and lee time consuming. Conclusion: Now the concept of using AI technologies in cardiovascular health care holds the potential to transform disease management .
Related Papers
Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management2025-07-17Autonomous Resource Management in Microservice Systems via Reinforcement Learning2025-07-17Unpatchable Vulnerabilities in Windows 10/11: Security Report 20252025-07-10DT4PCP: A Digital Twin Framework for Personalized Care Planning Applied to Type 2 Diabetes Management2025-07-10RAPS-3D: Efficient interactive segmentation for 3D radiological imaging2025-07-10Vers un cadre ontologique pour la gestion des comp{é}tences : {à} des fins de formation, de recrutement, de m{é}tier, ou de recherches associ{é}es2025-07-08AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study2025-07-08DESIGN AND IMPLEMENTATION OF ONLINE CLEARANCE REPORT.2025-07-07