UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review

Reviews in Cardiovascular Medicine, Год журнала: 2024, Номер 25(5)

Опубликована: Май 22, 2024

Cardiovascular disease (CVD) diagnosis and treatment are challenging since symptoms appear late in the disease’s progression. Despite clinical risk scores, cardiac event prediction is inadequate, many at-risk patients not adequately categorised by conventional factors alone. Integrating genomic-based biomarkers (GBBM), specifically those found plasma and/or serum samples, along with novel non-invasive radiomic-based (RBBM) such as plaque area burden can improve overall specificity of CVD risk. This review proposes two hypotheses: (i) RBBM GBBM have a strong correlation be used to detect severity stroke precisely, (ii) introduces proposed artificial intelligence (AI)—based preventive, precision, personalized (aiP3) CVD/Stroke model. The PRISMA search selected 246 studies for It showed that using biomarkers, deep learning (DL) modelscould stratification aiP3 framework. Furthermore, we present concise overview platelet function, complete blood count (CBC), diagnostic methods. As part AI paradigm, discuss explainability, pruning, bias, benchmarking against previous their potential impacts. integration GBBM, an innovative solution streamlined DL paradigm predicting combination powerful assessment paradigm. model signifies promising advancement assessment.

Язык: Английский

Application of optical coherence tomography angiography to study retinal and choroidal vascular changes in patients with first-time coronary artery stenosis

Photodiagnosis and Photodynamic Therapy, Год журнала: 2024, Номер unknown, С. 104435 - 104435

Опубликована: Дек. 1, 2024

To study the changes in retinal and choroidal vessels patients with coronary artery stenosis via optical coherence tomography angiography (OCTA).

Язык: Английский