Abstract: Objective: Mild cognitive impairment (MCI) is characterized by early symptoms of attentional decline and may be distinguished through motor learning results. A relationship was reported ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its ...
Background: Hemorrhagic transformation (HT) is a common and potentially serious complication following intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS). Despite its high ...
In this important study, the authors model reinforcement-learning experiments using a recurrent neural network. The work examines if the detailed credit assignment necessary for back-propagation ...
Abstract: Random feature latent variable models (RFLVMs) are state-of-the-art tools for uncovering structure in high-dimensional, non-Gaussian data. However, their reliance on Monte Carlo sampling ...
Faced with a decades-long epidemic of troublingly high veteran suicide rates, the Department of Veterans Affairs has been exploring the adoption and use of artificial intelligence to help identify ...
ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
When it comes to understanding the process of effective learning, there are some variables that make it less straightforward. While many believe that repetition is the key to mastering new information ...
Established risk models may not be applicable to patients at higher cardiovascular risk with a measured Lp(a) (lipoprotein[a]) level, a causal risk factor for atherosclerotic cardiovascular disease.
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