Public Health & Policy

Medical Education

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

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Virtual reality operating room with AI guidance: design and validation of a fire scenario.

BACKGROUND: Operating room (OR) fires are uncommon but disastrous events. Inappropriate handling of ...

Dynamic Modeling and Simulation of a Body Weight Support System.

This paper proposes a body weight support (BWS) system with a series elastic actuator (SEA) to facil...

Learning Mobile Manipulation through Deep Reinforcement Learning.

Mobile manipulation has a broad range of applications in robotics. However, it is usually more chall...

Artificial Intelligence in Radiology Residency Training.

Artificial intelligence (AI) is an emerging technology that brings a wide array of new tools to the ...

Artificial Intelligence in Health Care: Insights From an Educational Forum.

Discussions surrounding the future of artificial intelligenc (AI) in healthcare often cause constern...

Characterizing Protein-Ligand Binding Using Atomistic Simulation and Machine Learning: Application to Drug Resistance in HIV-1 Protease.

Over the past several decades, atomistic simulations of biomolecules, whether carried out using mole...

Control of speaking rate is achieved by switching between qualitatively distinct cognitive "gaits": Evidence from simulation.

That speakers can vary their speaking rate is evident, but how they accomplish this has hardly been ...

DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation.

Medical image segmentation is one of the hot issues in the related area of image processing. Precise...

A deep learning approach for converting prompt gamma images to proton dose distributions: A Monte Carlo simulation study.

PURPOSE: In proton therapy, imaging prompt gamma (PG) rays has the potential to verify proton dose (...

Emergency Department Capacity Planning: A Recurrent Neural Network and Simulation Approach.

Emergency departments (EDs) play a vital role in the whole healthcare system as they are the first p...

Humans and machines: Moving towards a more symbiotic approach to learning clinical reasoning.

Artificial intelligence is a growing phenomenon that is driving major changes to how we deliver heal...

Applications of Computer Modeling and Simulation in Cartilage Tissue Engineering.

BACKGROUND: Advances in cartilage tissue engineering have demonstrated noteworthy potential for deve...

Simulation of hyperelastic materials in real-time using deep learning.

The finite element method (FEM) is among the most commonly used numerical methods for solving engine...

An in vitro assay and artificial intelligence approach to determine rate constants of nanomaterial-cell interactions.

In vitro assays and simulation technologies are powerful methodologies that can inform scientists of...

Dynamic modeling and simulation of inchworm movement towards bio-inspired soft robot design.

Inchworms have been one of the most widely used bionic templates for designing soft robotic devices....

Kinematic analysis and simulation of a new type of differential micro-feed mechanism with friction.

This article presents a new micro-feed mechanism, whose main transmission component is the nut-rotar...

Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway.

OBJECTIVE: To evaluate the application of clinical pathway simulation in machine learning, using cli...

Artificial neural network metamodel for sensitivity analysis in a total hip replacement health economic model.

: Metamodels have been used to approximate complex simulations and have many applications with sensi...

NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation.

Complex computational models are often designed to simulate real-world physical phenomena in many sc...

Force classification during robotic interventions through simulation-trained neural networks.

PURPOSE: Intravitreal injection is among the most frequent treatment strategies for chronic ophthalm...

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