Field Of Cardiovascular Medicine Research Articles

Molecular basis of hereditary cardiomyopathy: A systematic review

Hereditary cardiomyopathies include a diverse spectrum of myocardial disorders characterized by mechanical and electrical abnormalities, among which hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) are distinguished. This paper dives into the genetic foundations of these conditions, with a focus on mutations in genes encoding sarcomere proteins, thin filament proteins, and calcium homeostasis regulators. The familial aggregation of cardiomyopathies underscores the substantial genetic component, with autosomal dominant inheritance patterns predominant in some cases. Genetic testing and counseling emerge as pivotal tools for early diagnosis, risk assessment, and the formulation of personalized treatment strategies. The integration of genetic insights into clinical management holds promise for improving patient outcomes and reducing disease burden. Further analysis of the molecular mechanisms underlying hereditary cardiomyopathies is critical for identifying novel therapeutic targets and advancing precision medicine approaches. By comprehensively exploring the genetic underpinnings of cardiomyopathies, this paper contributes to our understanding of these complex diseases and highlights the potential for innovative interventions to enhance patient care in the field of cardiovascular medicine.

Application of computational fluid dynamics in the evaluation of left ventricular function in cardiomyopathies and coronary disease

Computational fluid dynamics (CFD) is an emerging technology applied in the field of cardiovascular medicine, which can obtain hemodynamic data by simulating the blood flow in the patient's heart for cardiac function assessment and disease diagnosis. Left ventricular function plays a key role in the occurrence and development of cardiomyopathies and coronary disease. CFD can reconstruct the left ventricular anatomic structures of patients to clarify pathophysiologic mechanisms and analyze hemodynamic parameters to evaluate left ventricular function, verify surgical efficacy, and guide surgical strategy, which has a positive effect on achieving early diagnosis and reducing mortality from cardiomyopathies and coronary disease. At present, there are still technical limitations in the large-scale clinical application of CFD, and various solutions are being developed and tested, and further improvement and refinement are needed.

The emergence and clinical significance of artificial intelligence–enhanced electrocardiography

The integration of artificial intelligence (AI) with electrocardiography (ECG), a technology known as AI-ECG, represents a transformative leap in the field of cardiovascular medicine. This innovative approach has significantly advanced the capabilities of ECG, traditionally used for diagnosing heart diseases. AI-ECG excels in detecting subtle changes and interconnected patterns in cardiac waveforms, offering a level of precision and sensitivity that was previously unattainable with conventional methods. The scope of AI-ECG extends beyond the realm of heart diseases. It has shown remarkable potential in predicting and identifying the impacts of noncardiac conditions on heart health, thereby broadening the diagnostic capabilities of ECG. This is especially valuable given the complex nature of cardiovascular diseases and their interactions with other health conditions. Despite its groundbreaking potential, AI-ECG faces several challenges. One of the primary concerns is the "black box" nature of AI algorithms, which can make the decision-making process opaque and difficult to interpret. This poses a challenge in medical settings where understanding the rationale behind a diagnosis is crucial. Additionally, the effectiveness of AI-ECG is dependent on the quality and diversity of the datasets used to train the algorithms. Limited or biased datasets can lead to inaccuracies and diminish the reliability of the technology. However, the benefits of AI-ECG are significant. It enables faster, more accurate diagnoses and has the potential to greatly enhance the efficiency of cardiovascular care. As research and technology continue to evolve, AI-ECG is poised to become an indispensable tool in the diagnosis and management of heart diseases.

Cancer and Cardiovascular Disease: The Conjoined Twins.

Cancer and cardiovascular disease are the two most common causes of death worldwide. As the fields of cardiovascular medicine and oncology continue to expand, the area of overlap is becoming more prominent demanding dedicated attention and individualized patient care. We have come to realize that both fields are inextricably intertwined in several aspects, so much so that the mere presence of one, with its resultant downstream implications, has an impact on the other. Nonetheless, cardiovascular disease and cancer are generally approached independently. The focus that is granted to the predominant pathological entity (either cardiovascular disease or cancer), does not allow for optimal medical care for the other. As a result, ample opportunities for improvement in overall health care are being overlooked. Herein, we hope to shed light on the interconnected relationship between cardiovascular disease and cancer and uncover some of the unintentionally neglected intricacies of common cardiovascular therapeutics from an oncologic standpoint.

Crafting a Rigorous, Clinically Relevant Large Animal Model of Chronic Myocardial Ischemia: What Have We Learned in 20 Years?

The past several decades have borne witness to several breakthroughs and paradigm shifts within the field of cardiovascular medicine, but one component that has remained constant throughout this time is the need for accurate animal models for the refinement and elaboration of the hypotheses and therapies crucial to our capacity to combat human disease. Numerous sophisticated and high-throughput molecular strategies have emerged, including rational drug design and the multi-omics approaches that allow extensive characterization of the host response to disease states and their prospective resolutions, but these technologies all require grounding within a faithful representation of their clinical context. Over this period, our lab has exhaustively tested, progressively refined, and extensively contributed to cardiovascular discovery on the basis of one such faithful representation. It is the purpose of this paper to review our porcine model of chronic myocardial ischemia using ameroid constriction and the subsequent myriad of physiological and molecular-biological insights it has allowed our lab to attain and describe. We hope that, by depicting our methods and the insight they have yielded clearly and completely-drawing for this purpose on comprehensive videographic illustration-other research teams will be empowered to carry our work forward, drawing on our experience to refine their own investigations into the pathogenesis and eradication of cardiovascular disease.

Fetuin-A levels in association with calcific aortic valve disease: A meta-analysis

Background and aimsCalcific aortic valve disease (CAVD) is a common valvular disease, prevalent particularly within the older age groups. The potential use of biomarkers in diagnosing and assessing the severity of CAVD, in supplementation with imaging techniques, has recently gained momentum within the field of cardiovascular medicine. Therefore, a meta-analysis was performed that assessed the association between the fetuin-A levels, and the presence of CAVD. MethodsPubMed and Cochrane were searched from inception to April 2023. Risk of bias was assessed using the Newcastle-Ottawa scale for cohort studies. ResultsThis analysis includes a total of 3,280 patients with CAVD, and 7,505 patients as control, resulting in the pooling of 10,785 patients in this meta-analysis. It was observed that the circulating levels of fetuin-A were significantly lowered in patients with CAVD (SMD: -0.20; 95% CI: -0.39, -0.02; P = 0.03). Moreover, the analysis revealed that fetuin-A levels had no significant association with CAVD in patients suffering from kidney disease (SMD: 0.20; 95% CI: -0.46, 0.85; P = 0.56). ConclusionWhile initial results demonstrate the potential effectiveness, further research is essential in order to arrive at a robust conclusion regarding the use of fetuin-A as a diagnostic biomarker for calcific aortic valve disease.

Robotic-Assisted Solutions for Invasive Cardiology, Cardiac Surgery and Routine On-Ward Tasks: A Narrative Review.

Robots are defined as programmable machines that can perform specified tasks. Medical robots are emerging solutions in the field of cardiology leveraging recent technological innovations of control systems, sensors, actuators, and imaging modalities. Robotic platforms are successfully applied for percutaneous coronary intervention, invasive cardiac electrophysiology procedures as well as surgical operations including minimally invasive aortic and mitral valve repair, coronary artery bypass procedures, and structural heart diseases. Furthermore, machines are used as staff-assisting tools to support nurses with repetitive clinical duties i.e., food delivery. High precision and resolution allow for excellent maneuverability, enabling the performance of medical procedures in challenging anatomies that are difficult or impossible using conventional approaches. Moreover, robot-assisted techniques protect operators from occupational hazards, reducing exposure to ionizing radiation, and limiting risk of orthopedic injuries. Novel automatic systems provide advantages for patients, ensuring device stability with optimized utilization of fluoroscopy. The acceptance of robotic technology among healthcare providers as well as patients paves the way for widespread clinical application in the field of cardiovascular medicine. However, incorporation of robotic systems is associated with some disadvantages including high costs of installation and expensive disposable instrumentations, the need for large operating room space, and the necessity of dedicated training for operators due to the challenging learning curve of robotic-assisted interventional systems.

Individualizing Medicinal Therapy Post Heart Stent Implantation: Tailoring for Patient Factors.

The field of cardiovascular medicine is undergoing a transformative shift towards personalized medicinal therapy, particularly in the context of post stent implantation. This narrative review explores the significance, challenges, and future directions of individualized treatment strategies for patients with coronary stents. The review highlights the pivotal role of personalized approaches in optimizing treatment efficacy and minimizing adverse events. Real-world clinical studies and trials underscore the importance of tailoring antiplatelet therapy based on platelet function testing, genetic testing, and risk scoring. These studies reveal that personalized medicinal treatment improves clinical outcomes by balancing preventing thrombotic events and mitigating bleeding risks. Challenges, including cost, test availability, patient adherence, and ethical considerations, are discussed in depth, shedding light on the complexities of implementing personalized approaches. Technological advancements, including omics data integration, artificial intelligence, and big data analytics, shape the future of personalized medicinal therapy. These tools enable precise pharmacogenomic selection of medications and the development of integrated risk-scoring systems. Patient engagement and education are also central, with empowered patients and remote monitoring contributing to collaborative decision-making. In conclusion, the narrative review underscores that personalized medicinal therapy post stent implantation holds immense promise for revolutionizing cardiovascular care. By embracing a comprehensive approach that considers genetics, clinical factors, and patient preferences, healthcare providers can optimize treatment outcomes and improve patient quality of life. The evolving landscape of personalized medicine offers a glimpse into a future where tailored treatment strategies become the cornerstone of precision cardiovascular care.

Abstract P2145: A Review Of Trends In Cardiovascular Medicine Clinical Trials; 2012-2021

Introduction: We examine cardiovascular medicine clinical trials (CTs) from the United States over the past decade focusing on characteristics that are important for assessing the reliability of evidence derived from them. Methods: The Clinicaltrials.gov API interface was queried with a comprehensive search strategy to identify trials in the field of cardiovascular medicine from the US registered from 1/1/2012 till the 12/31/2021. We extracted data on the presence of data monitoring committees (DMC), masking status and allocation methods used in the CTs. Results: Our initial query identified 1299 CTs. After reviewing and excluding unrelated trials, 536 were found to be cardiovascular medicine CTs. Of these, 507 (95%) reported if they had a DMC or not, 261 (49%) reported having a DMC while 246 (46%) reported not having one. 471 (88%) CTs reported on their design allocation method, most common being randomized as reported by 312 (58%) of the trials, 43 (8%) were non-randomized and 116 (22%) reported that a design allocation was not applicable to them. 471 (88%) CTs reported on their masking status, most common being open label as seen in 247 (46%) of the trials followed by double masking seen in 71 (13%) of the trials. On performing a Cox and Stuart trend test, no trend was seen in the annual proportion of trials with randomization, a DMC or masking over the past decade [P > 0.05 for all three]. Conclusions: In these analyses of 536 CTs, we found that > 50% did not have a DMC or any masking and no favorable trend was seen in the annual proportion of same over the past decade. Additionally, majority of the trials reported randomization as the design allocation method.

The Emergence of Nanotechnology in the Prognosis and Treatment of Myocardial Infarctions.

Myocardial infarction (MI), commonly known as a heart attack, is a critical cardiovascular condition associated with high morbidity and mortality rates worldwide. Despite significant advancements in traditional treatment modalities, there remains a need for innovative approaches to improve the prognosis and treatment outcomes of MI. The emergence of nanotechnology has provided a promising avenue for revolutionizing the management of this life-threatening condition. This manuscript aims to explore the role of nanotechnology in the prognosis and treatment of myocardial infarctions. Nanotechnology offers unique advantages in the field of cardiovascular medicine, including targeted drug delivery, precise imaging and diagnosis, regenerative medicine approaches, biosensors and monitoring, and the integration of therapy and diagnostics (theragnostic). One of the key advantages of nanotechnology is the ability to deliver therapeutic agents directly to the affected site. Nanoparticles can be engineered to carry drugs specifically to damaged heart tissue, enhancing their efficacy while minimizing off-target effects. Additionally, nanoparticles can serve as contrast agents, facilitating high-resolution imaging and accurate diagnosis of infarcted heart tissue. Furthermore, nanotechnology-based regenerative approaches show promise in promoting tissue healing and regeneration after MI. Nanomaterials can provide scaffolding structures or release growth factors to stimulate the growth of new blood vessels and support tissue repair. This regenerative potential holds significant implications for restoring cardiac function and minimizing long-term complications. Nanotechnology also enables real-time monitoring of critical parameters within the heart, such as oxygen levels, pH, and electrical activity, through the utilization of nanoscale devices and sensors. This capability allows for the early detection of complications and facilitates timely interventions. Moreover, the integration of therapy and diagnostics through nanotechnology-based platforms, known as theragnostic, holds tremendous potential. Nanoparticles can simultaneously deliver therapeutic agents while providing imaging capabilities, enabling personalized treatment strategies tailored to individual patients. This manuscript will review the recent advancements, clinical trials, and patents in nanotechnology for the prognosis and treatment of myocardial infarctions. By leveraging nanotechnology's unique properties and applications, researchers and clinicians can develop innovative therapeutic approaches that enhance patient outcomes, improve prognosis, and ultimately revolutionize the management of myocardial infarctions.

STEM CELLS IN REGENERATIVE MEDICINE AND THERAPEUTIC POTENTIAL

Stem cells are a form of undifferentiated cell that has the potential to proliferate (self-renew), emerge from a single cell (clonal), and develop into different types of cells and tissues (potent). There are several sources of stem cells of varied potency.Although stem cell research has grown at an exponential rate, medicinal applications have moved considerably more slowly. The study is currently focused on understanding embryonic, adult, and inducible pluripotent stem cells. Adult stem cell research translation has demonstrated a decisive benefit that is larger than the present standard of care in the field of cardiovascular medicine. The future of stem cell research and therapy will continue to open up new diagnostic, therapeutic, and tissue regeneration pathways.In cellular treatment, stem cells can be employed to repair damaged cells or rebuild tissues. Furthermore, stem cells have advanced our understanding of development as well as disease causation. Cell lines that are particular to a disease can also be grown and employed in medication research.Despite considerable improvements in stem cell biology, ethical concerns about embryonic stem cells, tumour growth, and rejection restrict their applicability. However, several of these constraints are being overcome, which might lead to significant advancements in illness management. This article provides an introduction to the world of stem cells, including its definition, origin, and categorization, as well as their uses in regenerative medicine.

Three-Dimensional Echocardiography Derived Printing: A Review of Workflow, Current, and Future Applications

While most of the work pertaining to 3D printing in cardiology has been based on 3D CT and MRI datasets, due to the recent advents in 3D printing and 3D echocardiography, 3D printing from echocardiography has now become feasible. In this review, we discuss the workflow, applications, limitations, and potential future directions of 3D echocardiography-based 3D printing. 3D printing using 3D echocardiographic datasets has been successfully deployed in the field of cardiovascular medicine in the twenty-first century. It was shown to provide a significant additive value particularly with regards to visualization of valves and subvalvar apparatus. Given its limitations of limited field of view and somewhat lower spatial resolution, this approach is likely ideally suited for a combined multi-modality-based printing. Patient-specific, 3D echocardiography-derived 3D-printed models are now quite feasible. This can be used for surgical/procedural planning and training for optimal outcomes.

Premature Cardiovascular Misdiagnosis of Senior Endurance-Trained Athletes

A mature Caucasian patient, an endurance-trained triathlete (age group), had a routine ECG. The patient was immediately referred to Emergency based on supposed ECG abnormalities indicating a heart attack. This diagnosis was quickly dismissed based on no symptoms, heart rate of 50 BPM, athletic status, excellent health, and no prior cardiovascular problems. The patient had a history of severe white coat hypertension and underwent a further stress test and echocardiogram. The stress test showed exaggerated systolic blood pressures (over 225 mmHg) and high in-clinic basal blood pressures (160/90 mmHg), and the patient was diagnosed as hypertensive with exercise blood pressure close to stroke territory. He was told to stop racing, reduce training, and was prescribed antihypertensive drugs (which he did not take). Subsequent at-home 24 h (values close to 120/80 mmHg) and stress blood pressure measurements reversed that decision when considered in combination with an excellent echocardiogram result. The literature clearly describes endurance-trained athletes with systolic pressures over 225 mmHg Hg as being conditioned with no pathological aspects. Endurance-trained athletes should be examined as special cases in the field of cardiovascular medicine as trained physiological responses often present as cardiac abnormalities, and misdiagnosis can inappropriately change the athlete’s life.

Drug-Drug-Gene Interactions in Cardiovascular Medicine.

Cardiovascular disease remains a leading cause of both morbidity and mortality worldwide. It is widely accepted that both concomitant medications (drug-drug interactions, DDIs) and genomic factors (drug-gene interactions, DGIs) can influence cardiovascular drug-related efficacy and safety outcomes. Although thousands of DDI and DGI (aka pharmacogenomic) studies have been published to date, the literature on drug-drug-gene interactions (DDGIs, cumulative effects of DDIs and DGIs) remains scarce. Moreover, multimorbidity is common in cardiovascular disease patients and is often associated with polypharmacy, which increases the likelihood of clinically relevant drug-related interactions. These, in turn, can lead to reduced drug efficacy, medication-related harm (adverse drug reactions, longer hospitalizations, mortality) and increased healthcare costs. To examine the extent to which DDGIs and other interactions influence efficacy and safety outcomes in the field of cardiovascular medicine, we review current evidence in the field. We describe the different categories of DDIs and DGIs before illustrating how these two interact to produce DDGIs and other complex interactions. We provide examples of studies that have reported the prevalence of clinically relevant interactions and the most implicated cardiovascular medicines before outlining the challenges associated with dealing with these interactions in clinical practice. Finally, we provide recommendations on how to manage the challenges including but not limited to expanding the scope of drug information compendia, interaction databases and clinical implementation guidelines (to include clinically relevant DDGIs and other complex interactions) and work towards their harmonization; better use of electronic decision support tools; using big data and novel computational techniques; using clinically relevant endpoints, preemptive genotyping; ensuring ethnic diversity; and upskilling of clinicians in pharmacogenomics and personalized medicine.

Successful drainage of periaortic graft abscess and transcatheter aortic valve replacement in the same setting—A hybrid approach

81-year-old man with a history of Bio-Bentall surgery presented to the emergency department with fever, chills and back pain. Initial physical examination was inconclusive apart from sudden onset of delirium. Elevated white blood cells, anemia, and neutrophilia. Further studies revealed gram-positive cocci on the initial blood culture, which was then confirmed to be Methicillin Sensitive Staph Aureus bacteremia. Subsequently, a transesophageal echocardiography showed a periaortic abscess, moderate aortic regurgitation and severe aortic stenosis with no evidence of endocarditis. Antibiotics were started and urgent abscess drainage was planned. In a hybrid operative setting, a multidisciplinary team of cardiology, and cardiac surgery managed the periaortic graft abscess drainage through a median sternotomy and transcatheter aortic valve replacement. Postoperatively, the complications included bradycardia, and right heart failure. Six-week course of IV Rifampin, Probenecid, and Cefazolin was initiated, and patient was to remain on lifelong Cefadroxil. A hybrid approach should be considered for patients with high morality risks in the field of cardiovascular medicine as it offers the best available combination of treatments.

Adipose-derived regenerative cells as a promising therapy for cardiovascular diseases: an overview.

ABSTRACTThe number of patients with ischemic cardiovascular diseases is significantly increasing as populations age. Therapeutic angiogenesis has been developed as a new treatment strategy for such patients. In recent years, the presence of mesenchymal stem cells in adipose tissues was reported, and regenerative medicine using these cells has attracted attention worldwide. In this review, we describe how the transplantation of adipose-derived regenerative cells enhances angiogenesis and tissue regeneration because of their multilineage potential and cytokine secretion. Then, the current status of therapeutic angiogenesis using adipose-derived regenerative cells in the field of cardiovascular medicine was also described. These cells present great advantages over bone marrow mononuclear cells, as these need easier, shorter, and less invasive preparations as well as less ethical concerns and immunological problems. The efficacy of adipose-derived regenerative cell transplantation in the treatment of various diseases was examined in several clinical trials with favorable results. Currently, a multicenter study of therapeutic angiogenesis using these cells is being conducted in patients with critical limb ischemia. In conclusion, we expect that this method will soon be established as a treatment for cardiovascular diseases that have been refractory to conventional treatments.

A Transcriptional Regulation Bioinformatics Pipeline to Predict Co‐Regulated Genes in Vascular Smooth Muscle Cell Phenotypic Transitions During Atherosclerosis

The rupture of vulnerable or advanced atherosclerotic lesions contributes to myocardial infarctions and strokes, the leading causes of death globally. During all stages of atherosclerosis, vascular smooth muscle cells (VSMCs) are recruited as a major source of plaque cells within lesions, where they undergo phenotypic modulation and give rise to both plaque‐stabilizing and destabilizing phenotypes. Because most atherosclerosis studies test the functional role of single transcription factors, genes, and proteins in VSMCs, many aspects of how VSMC plasticity can be clinically exploited to prevent the rupture of vulnerable atherosclerotic lesions remain unclear. Systems biology approaches have emerged as a promising avenue for characterizing cellular dynamics at the organismal level, but they remain under‐utilized in the field of cardiovascular medicine. This study proposes a novel systems biology pipeline that integrates experimental and computational tools with large datasets measuring the transcriptomes and epigenomes of phenotypically transitioning VSMCs. Our pipeline allows users to identify candidate transcription factors that co‐regulate mouse or human gene sets controlling specific VSMC phenotypic transitions during atherosclerosis. The computational algorithms developed in this workflow integrate an array of publicly available databases, such as the Ensembl genome database and the JASPAR transcription factor database. To demonstrate the translational potential of our pipeline, we used it to test the hypothesis that the murine mesenchymal marker stem cell antigen‐1 Sca1(Ly6a) has a human ortholog, which has not been previously validated as a target in clinical therapies. To test the hypothesis that there are sets of genes co‐regulated with Ly6ain human VSMCs which, when expressed in concert, promote a distinct phenotypic state marked by Ly6ain mice, we integrated genomic and ATAC‐seq analyses of VSMCs to identify murine genes with human orthologs that bind Ly6a‐specific transcription factors. Specifically, we predict that the transcription factors ETS1, KLF5, GATA6, and SOX10 co‐regulate sets of human genes with Ly6a. While prior studies have associated these transcription factors with VSMC proliferation and phenotypic modulation, we specifically predict these Ly6a‐specific transcription factor co‐regulate the following human gene sets: PHACTR1, EFHC1, LAMC2(ETS1); TTC33, RUNX1, KIAA1217(KLF5); TMEM50A(GATA6); and ZBTB20, MYLK2(SOX10). To validate these predictions, we will determine if these transcription factors and their co‐regulated genes are expressed in single cell RNA‐sequencing analyses of human carotid arteries and can be detected with immunofluorescence staining of human coronary artery sections. We will also use siRNA to target these candidate transcription factors and genes in cultured VSMCs. The results of our pipeline will help identify novel transcriptional regulatory networks in VSMCs that can be therapeutically targeted for the treatment of advanced atherosclerosis.

A remote mentorship model for empowering students to undertake electrocardiology research: Effects on gender equity

Over the past years, there has been increasing awareness on female representation in cardiology, in particular senior academic ranks. Given the gender disparity in cardiology, female talents in cardiovascular academic medicine are significantly under-represented. In addition, whilst women have a slightly higher frequency of earning first authorships, it has been reported that women are 50% less likely to hold a senior authorship position. The drop in female representation in senior ranks of academic medicine may be contributed by a lack of female talent engagement, particularly during their early-career advancement, in high-impact journals and leadership roles. We present a remote, accessible-distributed research team model to help raise the female representation and tackle the challenges faced by female academics in the field of cardiovascular medicine. The group celebrates accessibility through open communication and collaboration, where mentees can seek research advice and ideas virtually from senior members and principal investigators. The decentralized system allows easy access for research guidance and inspirationand break down barriers in the lack of mentorship for early-career female talents. Students are empowered to lead their projects, and be involved in all phases- from the generation of study ideas to publication. The early development of holistic independent research skills equips students to become principal investigators and leaders in the future. The distributive element of the group is demonstrated through the decentralized research approach employed. Authorship is allocated based on intellectual contribution rather than on the acquisition of funding or seniority level.

An expert opinion of the Association of Cardiovascular Interventions and the Working Group on Cardiovascular Pharmacotherapy of the Polish Cardiac Society related to the place of prasugrel in the prevention of cardiovascular events in patients with acute coronary syndromes.

Based on many randomized clinical trials, it can be concluded that dual antiplatelet therapy is one of the best-studied treatments in the field of cardiovascular medicine. For many years prasugrel and ticagrelor have been preferred inhibitors of the platelet P2Y12 receptor in patients with acute coronary syndromes. These drugs enable faster, stronger, and more consistent inhibition of platelets and lead to better clinical outcomes than clopidogrel. The following document is an expert group opinion summarizing the latest knowledge in the field of antiplatelet therapy in the prevention of cardiovascular events in patients with acute coronary syndromes, with a special focus on prasugrel.

Current and Future Applications of Artificial Intelligence in Coronary Artery Disease.

Cardiovascular diseases (CVDs) carry significant morbidity and mortality and are associated with substantial economic burden on healthcare systems around the world. Coronary artery disease, as one disease entity under the CVDs umbrella, had a prevalence of 7.2% among adults in the United States and incurred a financial burden of 360 billion US dollars in the years 2016–2017. The introduction of artificial intelligence (AI) and machine learning over the last two decades has unlocked new dimensions in the field of cardiovascular medicine. From automatic interpretations of heart rhythm disorders via smartwatches, to assisting in complex decision-making, AI has quickly expanded its realms in medicine and has demonstrated itself as a promising tool in helping clinicians guide treatment decisions. Understanding complex genetic interactions and developing clinical risk prediction models, advanced cardiac imaging, and improving mortality outcomes are just a few areas where AI has been applied in the domain of coronary artery disease. Through this review, we sought to summarize the advances in AI relating to coronary artery disease, current limitations, and future perspectives.