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
TL;DR
This paper reviews how AI technologies can improve early detection of cardiovascular diseases, making diagnosis more accurate and efficient, and discusses their potential to transform healthcare management.
Contribution
It provides a systematic review of AI applications in early CVD detection, highlighting their impact on diagnosis accuracy and healthcare efficiency.
Findings
AI integration improves diagnosis accuracy
AI reduces time for CVD diagnosis
AI has potential to transform cardiovascular healthcare
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 .
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