Public Health & Policy

Medical Education

Latest AI and machine learning research in medical education for healthcare professionals.

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A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm.

Many everyday activities are sequential in nature. That is, they can be seen as a sequence of subact...

Evaluation of shape factor impact on discharge coefficient of side orifices using boost simulation model with extreme learning machine data-driven.

In this paper, for the first time, the impact of the shape factor on the discharge coefficient of si...

Simulation of time-series groundwater parameters using a hybrid metaheuristic neuro-fuzzy model.

The estimation of qualitative and quantitative groundwater parameters is an essential task. In this ...

Domain generalization on medical imaging classification using episodic training with task augmentation.

Medical imaging datasets usually exhibit domain shift due to the variations of scanner vendors, imag...

Essential updates 2020/2021: Current topics of simulation and navigation in hepatectomy.

With the development of three-dimensional (3D) simulation software, preoperative simulation technolo...

An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology.

Physics-based analyses have the potential to consolidate and substantiate medical diagnoses in rhino...

A novel approach on water resource management with Multi-Criteria Optimization and Intelligent Water Demand Forecasting in Saudi Arabia.

Ever-increasing demands for freshwater resources have elevated the likelihood of severe water stress...

Application of Neural Network Algorithm Combined with Bee Colony Algorithm in English Course Recommendation.

The traditional BP neural network has the disadvantages of easy falling into local minimum and slow ...

Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems.

Deep learning is one of the most promising machine learning techniques that revolutionalized the art...

Implementation and Evaluation of an Artificial Intelligence Driven Simulation to Improve Resident Communication With Primary Care Providers.

Our artificial intelligence platform facilitated, evaluated, and provided real-time feedback on a st...

Physical Human-Robot Interaction Using HandsOn-SEA: An Educational Robotic Platform With Series Elastic Actuation.

For gaining proficiency in physical human-robot interactions, it is crucial for engineering students...

Synergy and Complementarity between Focused Machine Learning and Physics-Based Simulation in Affinity Prediction.

We present results on the extent to which physics-based simulation (exemplified by FEP) and focused ...

Virtual Reality Simulation Has Weak Correlation with Overall Trainee Robot-Assisted Laparoscopic Hysterectomy Performance.

STUDY OBJECTIVE: Both simulator practice and intraoperative performance serve to inform surgical tra...

DeepCME: A deep learning framework for computing solution statistics of the chemical master equation.

Stochastic models of biomolecular reaction networks are commonly employed in systems and synthetic b...

Application of Artificial Intelligence in Medicine: An Overview.

Artificial intelligence (AI) is a new technical discipline that uses computer technology to research...

An Evaluation of Sleepiness, Performance, and Workload Among Operators During a Real-Time Reactive Telerobotic Lunar Mission Simulation.

OBJECTIVE: We assessed operator performance during a real-time reactive telerobotic lunar mission si...

The Importance of the Institution of a Robotic Curriculum on Resident Training and Performance.

In 2018, general surgery topped the number of robotic cases. Over 90% of residents participate, but ...

Increasing efficiency and accuracy of magnetic interaction calculations in colloidal simulation through machine learning.

Calculating the magnetic interaction between magnetic particles that are positioned in close proximi...

Prediction of the importance of auxiliary traits using computational intelligence and machine learning: A simulation study.

The present study evaluated the importance of auxiliary traits of a principal trait based on phenoty...

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