Medical Education

Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs.

PURPOSE: In this paper, we propose to apply generative adversarial neural networks trained with a cy...

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.

Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have...

Learning from adversarial medical images for X-ray breast mass segmentation.

BACKGROUND AND OBJECTIVE: Simulation of diverse lesions in images is proposed and applied to overcom...

Machine Learning Identification of Surgical and Operative Factors Associated With Surgical Expertise in Virtual Reality Simulation.

IMPORTANCE: Despite advances in the assessment of technical skills in surgery, a clear understanding...

Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach.

Scintillation camera images contain a large amount of Poisson noise. We have investigated whether no...

Learning the implicit strain reconstruction in ultrasound elastography using privileged information.

Quasi-static ultrasound elastography is an importance imaging technology to assess the conditions of...

Analysis of crystallization phenomenon in Indian honey using molecular dynamics simulations and artificial neural network.

Molecular dynamics simulation was performed on sugar profile and moisture content-based mixture syst...

Prediction of Sub-Monomer A2 Domain Dynamics of the von Willebrand Factor by Machine Learning Algorithm and Coarse-Grained Molecular Dynamics Simulation.

We develop a machine learning tool useful for predicting the instantaneous dynamical state of sub-mo...

Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.

OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, gener...

Self-Paced Balance Learning for Clinical Skin Disease Recognition.

Class imbalance is a challenging problem in many classification tasks. It induces biased classificat...

Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.

PURPOSE: Machine learning-based approaches now outperform competing methods in most disciplines rele...

MCRDR Knowledge-Based 3D Dialogue Simulation in Clinical Training and Assessment.

Dialogue-based simulation is a real-world practice technique for medical and clinical education that...

Predicting Reaction Products and Automating Reactive Trajectory Characterization in Molecular Simulations with Support Vector Machines.

A machine learning-based methodology for the prediction of chemical reaction products, along with au...

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Good quality of medical images is a prerequisite for the success of subsequent image analysis pipeli...

Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space.

Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical elem...

A simulation-based approach to improve decoded neurofeedback performance.

The neural correlates of specific brain functions such as visual orientation tuning and individual f...

Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer's Disease.

It has demonstrated that glycogen synthase kinase 3β (GSK3β) is related to Alzheimer's disease (AD)....

Telehealth in Mental Health Nursing Education: Health Care Simulation With Remote Presence Technology.

The feasibility of integrating remote presence technology within a simulation scenario for psychiatr...

Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch.

Equipment parallel simulation is an emerging simulation technology in recent years, and equipment re...

Internal simulation in embodied cognitive systems: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by Vishwanathan Mohan et al.

Simulation-based deep artifact correction with Convolutional Neural Networks for limited angle artifacts.

Non-conventional scan trajectories for interventional three-dimensional imaging promise low-dose int...