Medical Education

Simulation-assisted machine learning.

MOTIVATION: In a predictive modeling setting, if sufficient details of the system behavior are known...

A Comparative Evaluation of SteamVR Tracking and the OptiTrack System for Medical Device Tracking.

Tracking of medical devices can be used in diverse situations, e.g., training as well as image guida...

Algorithmic Bias and Computer-Assisted Scoring of Patient Notes in the USMLE Step 2 Clinical Skills Exam.

Simulation on the Effect of Gait Variability, Delays, and Inertia with Respect to Wearer Energy Savings with Exoskeleton Assistance.

Exoskeletons are human-robot interfaces that have enormous potential to assist people with everyday ...

[The robot-assisted system YunSRobot for soft endoscopy: a trial of remote manipulation on simulation models].

To evaluate the feasibility and safety of the robot-assisted system YunSRobot for remote manipulati...

Quantifying Differences Between Passive and Task-Evoked Intrinsic Functional Connectivity in a Large-Scale Brain Simulation.

Establishing a connection between intrinsic and task-evoked brain activities is critical because it ...

A Real-Time Reconfigurable Multichip Architecture for Large-Scale Biophysically Accurate Neuron Simulation.

Simulation of brain neurons in real-time using biophysically meaningful models is a prerequisite for...

Simulation and Synthesis in Medical Imaging.

This editorial introduces the Special Issue on Simulation and Synthesis in Medical Imaging. In this ...

Lessons about Motor Learning: How Is Motor Learning Taught in Physical Therapy Programmes Across Canada?

This article describes the content of and delivery methods for motor learning (ML) education and th...

Artificial neural network simulation of lower limb joint angles in normal and impaired human gait.

PURPOSE: Simulating the complexities of lower limb motion can be useful for orthosis or rehabilitati...

Robotic Implementation of the Necessary Mechanism for the Human Characteristics Simulation: Approach from Self-Care Conceptual Modeling.

The vertiginous development of robotics, as part of the Artificial Intelligence, is currently raisin...

Training in urological robotic surgery. Future perspectives.

As robotics are becoming more integrated into the medical field, robotic training is becoming more c...

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac elec...

Multiscale simulation of thrombus growth and vessel occlusion triggered by collagen/tissue factor using a data-driven model of combinatorial platelet signalling.

During clotting under flow, platelets bind and activate on collagen and release autocrinic factors s...

Moisture content prediction in poultry litter using artificial intelligence techniques and Monte Carlo simulation to determine the economic yield from energy use.

The objective of this study is to determine the economic return of poultry litter combustion in boil...

Predictions of Diffuse Pollution by the HSPF Model and the Back-Propagation Neural Network Model.

  Watershed models are important tools for predicting the possible change of watershed responses. En...

Cellular neural network modelling of soft tissue dynamics for surgical simulation.

BACKGROUND: Currently, the mechanical dynamics of soft tissue deformation is achieved by numerical t...

ChainMail based neural dynamics modeling of soft tissue deformation for surgical simulation.

BACKGROUND: Realistic and real-time modeling and simulation of soft tissue deformation is a fundamen...

Simulation-based design for robotic care device: Optimizing trajectory of transfer support robot.

This paper presents a framework of simulation-based design for robotic care devices developed to red...

Augmented-reality integrated robotics in neurosurgery: are we there yet?

Surgical robots have captured the interest-if not the widespread acceptance-of spinal neurosurgeons....

Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

To develop predictive computational models forecasting the academic performance of students in the ...