Environmental Factors and Cardiovascular Susceptibility: Toward Personalized Prevention Mediated by the Role of Artificial Intelligence–A Narrative Review

Abstract

Background and Purpose: Cardiovascular diseases (CVD) represent a significant global health challenge due to high morbidity and mortality rates, that necessitate approaching the intricate relation between cardiovascular susceptibility and environmental factors, highlighting the importance of creating personalized cardiovascular prevention plans. Furthermore, as it is becoming integrated with the various aspects of healthcare, the role of artificial intelligence in cardiovascular and precision medicine is driving innovations towards personalized care. This review dives into the complex connection between cardiovascular susceptibility and environmental risk highlighting the importance of creating personalized cardiovascular preventive strategies in light of the upcoming artificial intelligence. Methods: An in-depth review was conducted using PubMed and ScienceDirect, to collect data from all articles that handled environmental factors and cardiovascular susceptibility with special emphasis on the up-to-date emerging role of artificial intelligence in preventive strategies. Results: The review revealed high heritability estimates and highlighted the significance of modifiable risk factors which are pivotal determinants affecting CVD susceptibility. The integration of artificial intelligence is implementing the power of precision preventive medicine that can be directed toward specific environmental factors, shifting the whole healthcare system to superior outcomes. Conclusion: Recognizing the preventability of CVD through personalized environmental modifications, this review advocates tailored prevention plans that account for individual characteristics. Despite its proven efficacy in managing modifiable risk factors, achieving optimal cardiovascular health remains challenging, necessitating innovative strategies and the integration of artificial intelligence in personalized healthcare.

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