Revolutionizing Cardiology through Artificial Intelligence-Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment-A Comprehensive Review of the Past 5 Years.

Background: Artificial intelligence (AI) can radically change almost every aspect of the human experience. In the medical field, there are numerous applications of AI and subsequently, in a relatively short time, significant progress has been made. Cardiology is not immune to this trend, this fact being supported by the exponential increase in the number of publications in which the algorithms play an important role in data analysis, pattern discovery, identification of anomalies, and therapeutic decision making.

Implications of Myocardial Bridge on Coronary Atherosclerosis and Survival.

Background: In this study, we aimed to describe the impact of MBs on atherosclerosis and survival, in patients with coronary artery disease (CAD). Methods: We retrospectively studied 1920 consecutive patients who underwent conventional coronary angiography for suspected CAD. Atherosclerotic load (AL), defined as the sum of degrees of stenosis, and general atherosclerotic load (GAL), representing the sum of AL, were compared between patients with MB and a control group without MB; patients in these groups were similar in age and sex.

Outcome and Predictors of Stent Thrombosis in the First Romanian Registry of Drug Eluting Stent (RODESINO EXTENSION).

Background: Stent thrombosis (ST) is a rare, but extremely severe complication of PCI. Outside clinical trials, data are limited regarding the risks and the impact of this phenomenon.

Aims: To assess prevalence, predictors, and clinical outcome of ST after implantation of drug eluting stents (DES) compared with bare metal stents (BMS), in a large case-control study in a real world scenario, as well as the relation between ST and duration of combined antiplatelet treatment.

Progression of subclinical myocardial dysfunction in type 2 diabetes after 5 years despite improved glycemic control.

Background: Patients with uncomplicated diabetes have reduced left ventricular long-axis function, related to poor glycemic control and increased conduit arterial stiffness, with increased radial function. It is unknown if improved control of risk factors can reverse these subclinical changes.

Patients And Methods: We studied 27 patients with type 2 diabetes (18 men) 57 ± 1 months (mean ± SD) after an initial visit when they were compared with healthy age- and sex-matched controls.

Can isovolumic acceleration be used in clinical practice to estimate ventricular contractile function? Reproducibility and regional variation of a new noninvasive index.

Background: Myocardial acceleration during isovolumic contraction (IVA) has been validated as a relatively load-insensitive noninvasive index of contractility. Its feasibility, reproducibility, and variation between segments have not been studied in detail, and thus its utility in clinical practice has not been established.

Methods: We analyzed myocardial velocity loops (median frame rate 182 s(-1)) from 20 young volunteers (10 men, aged 25.