THE POTENTIAL USE OF ARTIFICIAL INTELLIGENCE FOR VENOUS THROMBOEMBOLISM PROPHYLAXIS AND MANAGEMENT: CLINICIAN AND HEALTHCARE INFORMATICIAN PERSPECTIVES

Abstract Venous thromboembolism (VTE) is the leading cause of preventable death in hospitalized patients.Artificial intelligence (AI) and machine learning (ML) can support guidelines recommending an individualized approach to risk assessment and prophylaxis.We conducted electronic surveys asking clinician and healthcare informaticians about their p

Inflammatory myofibroblastic tumor (IMT) is a rare pathological entity first described in 1939.This lesion is most commonly found in the lungs, but cases involving other systems, such as the central nervous system known as intracranial IMT (IIMT), have also been reported.Diagnosis currently relies Waterproof Coats on pathological results due to the

BackgroundInfluenza is a contagious disease with high transmissibility to spread around the world with considerable morbidity and mortality and presents an enormous burden on worldwide public health.Few mathematical models can be used because influenza incidence data are generally not normally distributed.We developed a mathematical model using Ext

The basic amenity for a highly civilized community needs water and drainage facilities; with uncontrolled population outrage, there arises demand for water consumption which naturally leads to effluent discharge.Even though the district has ample landscape, smart drainage facilities, the rainwater and storm runoff are still collected as pumped sour

Abstract Meta-analysis may increase the risk of random errors.Trial sequential analysis (TSA) has been developed to adjust for these random errors.We conducted TSA on the efficacy and safety of direct oral anticoagulants (DOACs) and vitamin K antagonists (VKAs) in left ventricular thrombus (LVT) patients in order to estimate how many additional pat