Artificial intelligence in assessing the risks of developing cardiovascular diseases
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Abstract
Cardiovascular disease (CVD) is a global health crisis that results in millions of deaths annually. Accurate risk assessment tools are needed to address the increasing incidence of CVD. Medical researchers are leveraging artificial intelligence (AI) to develop innovative solutions for CVD risk assessment. AI - based predictive models offer personalized and precise risk assessments, overcoming the limitations of traditional regression models. These predictive models help medical professionals cater to individual patients ' unique needs , identify those at higher risk , and provide targeted interventions and personalized treatment plans , improving ultimately patient outcomes and healthcare efficiency. AI can also be integrated into decision support and medical information systems to automatically identify risk factors and assess CVD risks, including data extraction from medical records. This knowledge helps healthcare professionals make informed decisions and provide better care for patients with or at risk for CVD. The integration of AI in CVD risk assessment can potentially revolutionize cardiovascular medicine, paving the way for early interventions and personalized treatment plans.
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References
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