Exploring AI and Data Mining Techniques in Heart Disease Regeneration
The integration of artificial intelligence (AI) and data mining is driving imperative advancements in regenerative medicine, particularly in the treatment of heart disease.This study investigates the use of AI techniques, such as machine learning and deep learning, to assess intricate cardiovascular information..By leveraging data mining techniques, the study aims to identify patterns and predictors of cardiac regeneration, enabling personalized therapeutic approaches.Furthermore, we examine the potential of AI to enhance tissue engineering, improve patient outcomes, and accelerate clinical applications.Our findings highlight the critical role AI plays in optimizing regenerative strategies for heart disease, fostering innovative treatment paradigms.
Authors
- Mohammad Faisal (ORCID: https://orcid.org/0000-0001-7724-9064)
- Neha Goyal
- Shweta Tripath
Publication Details
- Journal
- International Journal of Research Publication and Reviews
- Published
- 2025-05-01
- DOI
- https://doi.org/10.55248/gengpi.6.sp525.1959
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00