AI Medical Compendium Topic:
Computer Simulation

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Design computed torque control for Stewart platform with uncertainty to the rehabilitation of patients with leg disabilities.

Computer methods in biomechanics and biomedical engineering
Physiotherapy is a treatment that may be required permanently by many patients. As a result, a robot that can execute physiotherapy exercises for the legs like a professional therapist with adequate performance and acceptable safety may be efficient ...

A novel collaborative self-supervised learning method for radiomic data.

NeuroImage
The computer-aided disease diagnosis from radiomic data is important in many medical applications. However, developing such a technique relies on labeling radiological images, which is a time-consuming, labor-intensive, and expensive process. In this...

Prediction of Human Organ Toxicity via Artificial Intelligence Methods.

Chemical research in toxicology
Unpredicted human organ level toxicity remains one of the major reasons for drug clinical failure. There is a critical need for cost-efficient strategies in the early stages of drug development for human toxicity assessment. At present, artificial in...

CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations.

Computers in biology and medicine
MicroRNAs have a significant role in the emergence of various human disorders. Consequently, it is essential to understand the existing interactions between miRNAs and diseases, as this will help scientists better study and comprehend the diseases' b...

De Rham compatible Deep Neural Network FEM.

Neural networks : the official journal of the International Neural Network Society
On general regular simplicial partitions T of bounded polytopal domains Ω⊂R, d∈{2,3}, we construct exact neural network (NN) emulations of all lowest order finite element spaces in the discrete de Rham complex. These include the spaces of piecewise c...

Two-timescale recurrent neural networks for distributed minimax optimization.

Neural networks : the official journal of the International Neural Network Society
In this paper, we present two-timescale neurodynamic optimization approaches to distributed minimax optimization. We propose four multilayer recurrent neural networks for solving four different types of generally nonlinear convex-concave minimax prob...

A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods.

Scientific reports
The problem of missing data, particularly for dichotomous variables, is a common issue in medical research. However, few studies have focused on the imputation methods of dichotomous data and their performance, as well as the applicability of these i...

Energy-Efficient Configuration and Control Allocation for a Dynamically Reconfigurable Underwater Robot.

Sensors (Basel, Switzerland)
A dynamically reconfigurable underwater robot, which can vary its configuration during a mission, would be useful for confined environment exploration and docking because of its versatility. A mission can be performed by choosing among different conf...

Sensor Topology Optimization in Dense IoT Environments by Applying Neural Network Configuration.

Sensors (Basel, Switzerland)
In dense IoT deployments of wireless sensor networks (WSNs), sensor placement, coverage, connectivity, and energy constraints determine the overall network lifetime. In large-size WSNs, it is difficult to maintain a trade-off among these conflicting ...

Integration of Virtual Reality in the Control System of an Innovative Medical Robot for Single-Incision Laparoscopic Surgery.

Sensors (Basel, Switzerland)
In recent years, there has been an expansion in the development of simulators that use virtual reality (VR) as a learning tool. In surgery where robots are used, VR serves as a revolutionary technology to help medical doctors train in using these rob...