What question did this study set out to answer?

This review examines how artificial intelligence can transform cardiovascular medicine through data-driven solutions.

January 9, 2026Advanced Intelligent SystemsOpen Access

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

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Key result

Artificial intelligence significantly enhances cardiovascular risk evaluation and personalizes treatment, promoting a data-driven and efficient cardiology workflow.

Authors

MKMowei KongAffiliated Hospital of Southwest Medical University XZXingwei ZhaoAffiliated Hospital of Southwest Medical University QLQiuting LiSouthwest Medical University

Discussion

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Implication

Review explores AI's role in predicting, diagnosing, and treating cardiovascular diseases, suggesting new efficiencies.

Key Points

This review examines how artificial intelligence can transform cardiovascular medicine through data-driven solutions.
Review of technological advances in AI relevant to cardiology
Assessment of AI applications in prediction, diagnosis, and treatment of cardiovascular diseases
Discussion on challenges such as model robustness and patient privacy
AI enhances clinical interpretations and surpasses traditional methods
Potential to revolutionize cardiovascular risk evaluation and personalize treatments
Future advancements could improve scalability while safeguarding patient privacy

Cite This Study

Kong et al. (2025) studied this question. Artificial intelligence significantly enhances cardiovascular risk evaluation and personalizes treatment, promoting a data-driven and efficient cardiology workflow.

synapsesocial.com/papers/69612fe130ef6c21f6853edd https://doi.org/10.1002/aisy.202501136

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