Public Health & Policy

Medical Education

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

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A Simulation Study to Compare the Predictive Performance of Survival Neural Networks with Cox Models for Clinical Trial Data.

BACKGROUND: Studies focusing on prediction models are widespread in medicine. There is a trend in ap...

The New Simulation of Quasiperiodic Wave, Periodic Wave, and Soliton Solutions of the KdV-mKdV Equation via a Deep Learning Method.

How to solve the numerical solution of nonlinear partial differential equations efficiently and conv...

Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control.

Reinforcement learning (RL) is a booming area in artificial intelligence. The applications of RL are...

Higher Education Curriculum Evaluation Method Based on Deep Learning Model.

Higher education plays an important role in the improvement of people's quality and the development ...

When Do We Need Massive Computations to Perform Detailed COVID-19 Simulations?

The COVID-19 pandemic has infected over 250 million people worldwide and killed more than 5 million ...

Dual-Input and Multi-Channel Convolutional Neural Network Model for Vehicle Speed Prediction.

With the development of technology, speed prediction has become an important part of intelligent veh...

Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations.

Skid-steered vehicles (SSV) are gaining huge importance in the market due to their applications like...

Simulation and beyond - Principles of effective obstetric training.

Simulation training provides a safe, non-judgmental environment where members of the multi-professio...

Design and Simulation Analysis of a Robot-Assisted Gait Trainer with the PBWS System.

In response to the ever-increasing demand of lower limb rehabilitation, this paper presents a novel ...

A Natural-Language-Processing-Based Procedure for Generating Distractors for Multiple-Choice Questions.

One of the most challenging aspects of writing multiple-choice test questions is identifying plausib...

HoloMentor: A Novel Mixed Reality Surgical Anatomy Curriculum for Robot-Assisted Radical Prostatectomy.

OBJECTIVES: The disruption to surgical training and medical education caused by the global COVID-19 ...

End-to-end learning for compound activity prediction based on binding pocket information.

BACKGROUND: Recently, machine learning-based ligand activity prediction methods have been greatly im...

Transference of skills in robotic vs. laparoscopic simulation: a randomized controlled trial.

BACKGROUND: Elucidating how robotic skills are best obtained will enable surgeons to best develop fu...

Identifying curriculum content for a cross-specialty robotic-assisted surgery training program: a Delphi study.

BACKGROUND: Robotic-assisted surgery is increasing and there is a need for a structured and evidence...

Review and current update of robotic-assisted laparoscopic vascular surgery.

The field of vascular surgery is constantly evolving and is unsurpassed in its innovation and adopti...

Deep Learning for Ultrasound Beamforming in Flexible Array Transducer.

Ultrasound imaging has been developed for image-guided radiotherapy for tumor tracking, and the flex...

Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures.

The utility of pathway signatures lies in their capability to determine whether a specific pathway o...

Multivariate Streamflow Simulation Using Hybrid Deep Learning Models.

Reliable and accurate streamflow simulation has a vital role in water resource development, mainly i...

Design and Simulation of Human Resource Allocation Model Based on Double-Cycle Neural Network.

The rationalization of human resource management is helpful for enterprises to efficiently train tal...

Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty.

An adequate classification of proximal femur fractures from X-ray images is crucial for the treatmen...

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