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Robotic versus thoracoscopic thymectomy: The current evidence.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The purpose of this study was to analyze all relevant comparative studies comparing robot-assisted minimally invasive thymectomy (RATS) and video-assisted thoracic surgery thymectomy (VATS) in terms of surgical and short-term outcomes.

Machine learning to identify multigland disease in primary hyperparathyroidism.

The Journal of surgical research
BACKGROUND: 20%-25% of patients with primary hyperparathyroidism will have multigland disease (MGD). Preoperatative imaging can be inaccurate or unnecessary in MGD. Identification of MGD could direct the need for imaging and inform operative approach...
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Recurrent neural networks as versatile tools of neuroscience research.

Current opinion in neurobiology
Recurrent neural networks (RNNs) are a class of computational models that are often used as a tool to explain neurobiological phenomena, considering anatomical, electrophysiological and computational constraints. RNNs can either be designed to implem...

Decision-making neural circuits mediating social behaviors : An attractor network model.

Journal of computational neuroscience
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds f...
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ISOWN: accurate somatic mutation identification in the absence of normal tissue controls.

Genome medicine
BACKGROUND: A key step in cancer genome analysis is the identification of somatic mutations in the tumor. This is typically done by comparing the genome of the tumor to the reference genome sequence derived from a normal tissue taken from the same do...

Medical image classification via multiscale representation learning.

Artificial intelligence in medicine
Multiscale structure is an essential attribute of natural images. Similarly, there exist scaling phenomena in medical images, and therefore a wide range of observation scales would be useful for medical imaging measurements. The present work proposes...

Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review.

PloS one
BACKGROUND: Dementia is a complex disorder characterized by poor outcomes for the patients and high costs of care. After decades of research little is known about its mechanisms. Having prognostic estimates about dementia can help researchers, patien...
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Stability Analysis of Genetic Regulatory Networks With Switching Parameters and Time Delays.

IEEE transactions on neural networks and learning systems
This paper is concerned with the exponential stability analysis of genetic regulatory networks (GRNs) with switching parameters and time delays. In this paper, a new integral inequality and an improved reciprocally convex combination inequality are c...
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Turn Intent Detection For Control of a Lower Limb Prosthesis.

IEEE transactions on bio-medical engineering
OBJECTIVE: An adaptable lower limb prosthesis with variable stiffness in the transverse plane requires a control method to effect changes in real time during amputee turning. This study aimed to identify classification algorithms that can accurately ...
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