Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.
Adverse events and medication-related errors are common with anticoagulants. Heparin infusions are frequently associated with administration errors or challenges potentially leading to undesired events. Solving these challenges is multi-faceted given related complexities associated with the process, numerous variabilities related to heparin itself, heparin resistance, factors impacting assays to m...
OBJECTIVES: The aim of this study was to evaluate the impact of introducing an autonomous courier in a clinical laboratory, focusing on specimen turnaround time (TAT). We assessed whether high-frequency robotic transport from the central accessioning area to analytical sections could reduce delays and variability compared with manual delivery. METHODS: We retrospectively analyzed routine lithium-h...
PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease with variable presentation. As revascularization tec...
AIMS: Existing ST-segment elevation myocardial infarction (STEMI) alert pathways that rely on traditional STEMI criteria perform suboptimally. We aime...
The growing number of cancer cases and deaths highlights the urgent need for innovative treatment approaches. One technique that has lately been recog...
Exome sequencing (ES) has transformed genomic research and clinical diagnostics by enabling precise identification of disease-associated variants with...
BACKGROUND: Sex-related differences in coronary artery disease (CAD) burden and outcomes are increasingly recognized but not fully understood, particu...
BACKGROUND: Up to 50% of patients presenting with ST-elevation myocardial infarction (STEMI) have multivessel coronary artery disease (CAD). Randomize...
BACKGROUND: Minimizing postoperative complications is imperative to improving patient outcomes. The purpose of this investigation is to develop machin...
In the field of computer vision, similarity measurement serves as a pivotal metric for assessing the similarity or dissimilarity of image features. Im...
Recent debates have focused on the impact of analytical imprecision in high-sensitivity cardiac troponin (hs-cTnI and hs-cTnT) assays on the diagnosis...
AIMS: Electrocardiograms (ECGs) and troponin (Tn) testing are essential tools for the diagnosis and management of cardiac conditions. Prompt diagnosis...
BACKGROUND: Acute care surgery (ACS) involves rapid, high-stakes decisions with limited opportunity for preoperative planning. While machine learning ...
BACKGROUND: Thrombophilia evaluation requires integration of biochemical findings with clinical history, much of which is embedded in unstructured ele...
BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to prevent ruptures and decrease mortality. Artificial ...
BACKGROUND: Large language models (LLMs) have demonstrated remarkable capabilities in various medical fields, yet their performance in thrombosis and ...
INTRODUCTION: Bleeding is a serious complication in cardiac surgery, especially among patients receiving combined anticoagulant and antiplatelet thera...
Perinatology relies on continuous engagement with an expanding body of clinical literature, yet the volume and velocity of publications increasingly e...
BACKGROUND: Tunneled central venous catheters (tCVCs) are essential in hemodialysis when arteriovenous access is not feasible. Their correct positioni...
Venous thromboembolism (VTE) remains a leading cause of cardiovascular morbidity and mortality, despite advances in imaging and anticoagulation. VTE a...