Artificial Intelligence in Cardiology and Atherosclerosis in the Context of Precision Medicine: A Scoping Review.
Oliwia GrzegorowskaJacek LorkowskiPublished in: Applied bionics and biomechanics (2024)
Cardiovascular diseases remain the main cause of death worldwide which makes it essential to better understand, diagnose, and treat atherosclerosis. Artificial intelligence (AI) and novel technological solutions offer us new possibilities and enable the practice of individually tailored medicine. The study was performed using the PRISMA protocol. As of January 10, 2023, the analysis has been based on a review of 457 identified articles in PubMed and MEDLINE databases. The search covered reviews, original articles, meta-analyses, comments, and editorials published in the years 2009-2023. In total, 123 articles met inclusion criteria. The results were divided into the subsections presented in the review (genome-wide association studies, radiomics, and other studies). This paper presents actual knowledge concerning atherosclerosis, in silico, and big data analyses in cardiology that affect the way medicine is practiced in order to create an individual approach and adjust the therapy of atherosclerosis.
Keyphrases
- artificial intelligence
- big data
- meta analyses
- cardiovascular disease
- machine learning
- deep learning
- systematic review
- randomized controlled trial
- genome wide association
- healthcare
- cardiac surgery
- primary care
- type diabetes
- squamous cell carcinoma
- lymph node metastasis
- magnetic resonance imaging
- cardiovascular risk factors
- quality improvement
- coronary artery disease
- mesenchymal stem cells
- bone marrow