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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Artificial Intelligence in Cardiology and Atherosclerosis in the Context of Precision Medicine: A Scoping Review

Oliwia Kolaszyńska1, Jacek Lorkowski2,3

  • 1Department of Internal Medicine, Asklepios Clinic Uckermark, Am Klinikum 1, 16303, Schwedt/Oder, Germany.

Applied Bionics and Biomechanics
|May 8, 2024
PubMed

Insights

Artificial intelligence (AI) and big data analyses are revolutionizing cardiovascular medicine. These technologies enhance the understanding, diagnosis, and personalized treatment of atherosclerosis, a leading cause of global mortality.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Genomics

Background:

  • Cardiovascular diseases, particularly atherosclerosis, are the leading cause of global mortality.
  • Understanding atherosclerosis is crucial for improving diagnosis and treatment strategies.
  • Individually tailored medicine offers new possibilities for managing complex diseases.

Purpose of the Study:

  • To review current knowledge on artificial intelligence (AI) and big data in atherosclerosis research.
  • To explore the impact of in silico and big data analyses on personalized cardiology.
  • To assess how novel technologies facilitate tailored therapy for atherosclerosis.

Main Methods:

  • Systematic literature review adhering to the PRISMA protocol.
  • Analysis of 457 articles from PubMed and MEDLINE databases (January 2009-2023).
  • Inclusion of 123 articles covering reviews, original research, meta-analyses, and editorials.

Main Results:

  • Identified AI and big data applications in genome-wide association studies (GWAS) for atherosclerosis.
  • Highlighted the role of radiomics in cardiovascular imaging and risk stratification.
  • Synthesized findings on in silico and big data approaches impacting clinical practice.

Conclusions:

  • AI and big data analyses are transforming atherosclerosis research and clinical practice.
  • These technologies enable a more personalized approach to cardiovascular medicine.
  • Future directions involve integrating advanced computational methods for tailored atherosclerosis therapy.

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