AIMC Topic: Computer Simulation

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Simulation of a control method for active kinesiotherapy with an upper extremity rehabilitation exoskeleton without force sensor.

Journal of neuroengineering and rehabilitation Feb 11, 2024
Exoskeleton-aided active rehabilitation is a process that requires sensing and acting upon the motion intentions of the user. Typically, force sensors are used for this. However, they increase the weight and cost of these wearable devices. This paper...
Computer Simulation Robotics Exoskeleton Device Humans Algorithms Upper Extremity
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Combining simulation models and machine learning in healthcare management: strategies and applications.

Progress in biomedical engineering (Bristol, England) Feb 9, 2024
Simulation models and artificial intelligence (AI) are largely used to address healthcare and biomedical engineering problems. Both approaches showed promising results in the analysis and optimization of healthcare processes. Therefore, the combinati...
Delivery of Health Care Computer Simulation Models, Organizational Machine Learning Algorithms Humans
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NeoSLAM: Long-Term SLAM Using Computational Models of the Brain.

Sensors (Basel, Switzerland) Feb 9, 2024
Simultaneous Localization and Mapping (SLAM) is a fundamental problem in the field of robotics, enabling autonomous robots to navigate and create maps of unknown environments. Nevertheless, the SLAM methods that use cameras face problems in maintaini...
Computer Simulation Robotics Algorithms Brain Humans
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In silico prediction of ocular toxicity of compounds using explainable machine learning and deep learning approaches.

Journal of applied toxicology : JAT Feb 8, 2024
The accurate identification of chemicals with ocular toxicity is of paramount importance in health hazard assessment. In contemporary chemical toxicology, there is a growing emphasis on refining, reducing, and replacing animal testing in safety evalu...
Databases, Factual Computer Simulation Deep Learning Eye Animals Machine Learning Algorithms Humans
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Residual current detection method based on improved VMD-BPNN.

PloS one Feb 8, 2024
To further enhance the residual current detection capability of low-voltage distribution networks, an improved adaptive residual current detection method that combines variational modal decomposition (VMD) and BP neural network (BPNN) is proposed. Fi...
Computer Simulation Entropy Neural Networks, Computer Algorithms
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Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding.

IEEE/ACM transactions on computational biology and bioinformatics Feb 5, 2024
Computational drug repositioning can identify potential associations between drugs and diseases. This technology has been shown to be effective in accelerating drug development and reducing experimental costs. Although there has been plenty of resear...
Drug Repositioning Deep Learning Drug Development Computer Simulation
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Validation of a Simulation Model for Robotic Myomectomy.

Journal of minimally invasive gynecology Feb 1, 2024
STUDY OBJECTIVE: Several simulation models have been evaluated for gynecologic procedures such as hysterectomy, but there are limited published data for myomectomy. This study aimed to assess the validity of a low-cost robotic myomectomy model for su...
Computer Simulation Female Humans Prospective Studies Robotics Robotic Surgical Procedures Uterine Myomectomy Reproducibility of Results Clinical Competence
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Hemodynamic factors of spontaneous vertebral artery dissecting aneurysms assessed with numerical and deep learning algorithms: Role of blood pressure and asymmetry.

Neuro-Chirurgie Jan 29, 2024
BACKGROUND AND OBJECTIVES: The pathophysiology of spontaneous vertebral artery dissecting aneurysms (SVADA) is poorly understood. Our goal is to investigate the hemodynamic factors contributing to their formation using computational fluid dynamics (C...
Deep Learning Blood Pressure Intracranial Aneurysm Vertebral Artery Hydrodynamics Middle Aged Hemodynamics Female Male Vertebral Artery Dissection Humans Algorithms Computer Simulation
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Unsupervised motion artifact correction of turbo spin-echo MRI using deep image prior.

Magnetic resonance in medicine Jan 28, 2024
PURPOSE: In MRI, motion artifacts can significantly degrade image quality. Motion artifact correction methods using deep neural networks usually required extensive training on large datasets, making them time-consuming and resource-intensive. In this...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Computer Simulation Deep Learning Motion Artifacts Humans Neural Networks, Computer Algorithms Brain
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Scalable Multi-Hierarchy Embedded Platform for Neural Population Simulations.

IEEE transactions on biomedical circuits and systems Jan 26, 2024
Brain-inspired structured neural circuits are the cornerstones of both computational and perceived intelligence. Real-time simulations of large-scale high-dimensional neural populations with complex nonlinearities pose a significant challenge. Taking...
Neurons Neural Networks, Computer Computer Simulation Computer Systems Brain
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