Objectives The comparative long-term safety and efficacy of transcatheter aortic valve implantation (TAVI) versus surgical aortic valve replacement (SAVR) remains under continued investigation, ...

Underlying intracranial stenosis is the most common cause of failed mechanical thrombectomy in patients with acute ischemic stroke with large vessel occlusion. Adjunct emergent stenting is sometimes ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

The Breakthrough Devices Program of the US Food and Drug Administration has accelerated the development and evaluation of medical devices for patients with heart failure. One such device is the ...

Inferring parameters of computational models that capture experimental data is a central task in cognitive neuroscience. Bayesian statistical inference methods usually require the ability to evaluate ...

Background This review aimed to compare the relative effectiveness of different exercise-based cardiac rehabilitation (ExCR) delivery modes (centre-based, home-based, hybrid and technology-enabled ...

While machine learning techniques have been transformative in solving a range of problems, an important challenge is to understand why they arrive at the decisions they output. Some have argued that ...

Joint Species Distribution Models (JSDM) have received a lot of attention in the last decade as they provide a general multivariate framework to study the joint abundances of all species from a ...

THB inversion utilizes a reversible-jump Markov-chain Monte Carlo (MCMC) algorithm to create a set of velocity models that best describe the observed data (Bodin et al., 2012; Burdick and Lekic, 2017) ...