Medical Education

Integration of Robotics in Urology Residency Programs: an Unchecked Technological Revolution.

PURPOSE OF REVIEW: To review the integration of robotics in urology residency programs and evaluate how it has impacted a graduates' level of surgical competence.

Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins.

Finding optimal parameters for force fields used in molecular simulation is a challenging and time-consuming task, partly due to the difficulty of tuning multiple parameters at once. Automatic differentiation presents a general solution: run a simulation, obtain gradients of a loss function with respect to all the parameters, and use these to improve the force field. This approach takes advantage ...

Davis Computational Spectroscopy Workflow-From Structure to Spectra.

We describe an automated workflow that connects a series of atomic simulation tools to investigate the relationship between atomic structure, lattice ...

Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform.

The recent curriculum reform in China puts forward higher requirements for the development of physical education. In order to further improve students...

Implementation of a standardized robotic assistant surgical training curriculum.

Since 2000, robotic-assisted surgery has rapidly expanded into almost every surgical sub-specialty. Despite the popularity of robotic surgery across t...

Developing a Robotic General Surgery Training Curriculum: Identifying Key Elements Through a Delphi Process.

OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents as robotic surgery becomes increasingly accessible....

Optimization and Simulation of Manuscript Management System Based on Fuzzy Genetic Neural Network.

Manuscript management plays an important role in the whole periodical industry. Journals and magazine society receive different types of contribution ...

A model of symbiomemesis: machine education and communication as pillars for human-autonomy symbiosis.

Symbiosis is a physiological phenomenon where organisms of different species develop social interdependencies through partnerships. Artificial agents ...

Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.

BACKGROUND AND OBJECTIVE: It is important to alleviate annotation efforts and costs by efficiently training on medical images. We performed a stress t...

Simulation and machine learning modelling based comparative study of InAlGaN and AlGaN high electron mobility transistors for the detection of HER-2.

The detection of the cancer biomarker human epidermal growth factor receptor 2 (HER-2) has always been challenging at the early stages of cancer due t...

Disruptive innovations in the clinical laboratory: catching the wave of precision diagnostics.

Disruptive innovation is an invention that disrupts an existing market and creates a new one by providing a different set of values, which ultimately ...

Cooperative Object Transportation Using Curriculum-Based Deep Reinforcement Learning.

This paper presents a cooperative object transportation technique using deep reinforcement learning (DRL) based on curricula. Previous studies on obje...

Modeling the response of ecological service value to land use change through deep learning simulation in Lanzhou, China.

Land use (LU) changes caused by urbanization, climate, and anthropogenic activities alter the supply of ecosystem services (ES), which affects the eco...

General Purpose Low-Level Reinforcement Learning Control for Multi-Axis Rotor Aerial Vehicles.

This paper proposes a multipurpose reinforcement learning based low-level multirotor unmanned aerial vehicles control structure constructed using neur...

Clustering-Based Noise Elimination Scheme for Data Pre-Processing for Deep Learning Classifier in Fingerprint Indoor Positioning System.

Wi-Fi-based indoor positioning systems have a simple layout and a low cost, and they have gradually become popular in both academia and industry. Howe...

Identifying Mobile Sensing Indicators of Stress-Resilience.

Resident physicians (residents) experiencing prolonged workplace stress are at risk of developing mental health symptoms. Creating novel, unobtrusive ...

Optimized algorithm for multipoint geostatistical facies modeling based on a deep feedforward neural network.

Reservoir facies modeling is an important way to express the sedimentary characteristics of the target area. Conventional deterministic modeling, targ...

Current directions in combining simulation-based macromolecular modeling approaches with deep learning.

: Structure-guided drug discovery relies on accurate computational methods for modeling macromolecules. Simulations provide means of predicting macrom...

Validity of robotic simulation for high-stakes examination: a pilot study.

Simulation is increasingly being used to train surgeons and access technical competency in robotic skills. The construct validity of using simulation ...

Application of artificial intelligence deep learning in numerical simulation of seawater intrusion.

Seawater intrusion not only causes fresh water shortages in coastal areas, but also has a negative impact on regional economic and social development....