Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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A Review of Recent Work in Transfer Learning and Domain Adaptation for Natural Language Processing of Electronic Health Records.

OBJECTIVES: We survey recent work in biomedical NLP on building more adaptable or generalizable mode...

Adaptive Quadruped Balance Control for Dynamic Environments Using Maximum-Entropy Reinforcement Learning.

External disturbance poses the primary threat to robot balance in dynamic environments. This paper p...

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.

OBJECTIVE: The change in performance of machine learning models over time as a result of temporal da...

A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data.

BACKGROUND AND OBJECTIVE: Synthetic magnetic resonance imaging (MRI) is a low cost procedure that se...

A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models.

An innovative approach for real-time road safety analysis is presented in this work. Unlike traditio...

The Use of Synthetic IMU Signals in the Training of Deep Learning Models Significantly Improves the Accuracy of Joint Kinematic Predictions.

Gait analysis based on inertial sensors has become an effective method of quantifying movement mecha...

Prediction of N chemical shifts by machine learning.

We demonstrate the potential for machine learning systems to predict three-dimensional (3D)-relevant...

Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks.

In this paper, we examine two strategies for boosting the performance of ensembles of Siamese networ...

Robot-Assisted Gait Training Plan for Patients in Poststroke Recovery Period: A Single Blind Randomized Controlled Trial.

BACKGROUND: Walking dysfunction exists in most patients after stroke. Evidence regarding gait traini...

The Increasing Centrality of Robotic Technology in the Context of Nursing Care: Bioethical Implications Analyzed through a Scoping Review Approach.

At the dawn of the fourth industrial revolution, the healthcare industry is experiencing a momentous...

Implementation of a standardized robotic assistant surgical training curriculum.

Since 2000, robotic-assisted surgery has rapidly expanded into almost every surgical sub-specialty. ...

Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis.

BACKGROUND: Osteoporosis is an underdiagnosed and undertreated disease worldwide. Recent studies hav...

Hybrid Improved Bird Swarm Algorithm with Extreme Learning Machine for Short-Term Power Prediction in Photovoltaic Power Generation System.

When a photovoltaic (PV) system is connected to the electric power grid, the power system reliabilit...

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 a...

Deep Learning Based Prediction of Gas Chromatographic Retention Indices for a Wide Variety of Polar and Mid-Polar Liquid Stationary Phases.

Prediction of gas chromatographic retention indices based on compound structure is an important task...

Interpretable and explainable AI (XAI) model for spatial drought prediction.

Accurate prediction of any type of natural hazard is a challenging task. Of all the various hazards,...

Informed training set design enables efficient machine learning-assisted directed protein evolution.

Directed evolution of proteins often involves a greedy optimization in which the mutation in the hig...

Computational pharmaceutics - A new paradigm of drug delivery.

In recent decades pharmaceutics and drug delivery have become increasingly critical in the pharmaceu...

Evaluating the Work Productivity of Assembling Reinforcement through the Objects Detected by Deep Learning.

With the rapid development of deep learning, computer vision has assisted in solving a variety of pr...

Efficient, high-performance semantic segmentation using multi-scale feature extraction.

The success of deep learning in recent years has arguably been driven by the availability of large d...

Analysis of Sports Performance Prediction Model Based on GA-BP Neural Network Algorithm.

There are many factors that affect athletes' sports performance in sports competitions. The traditio...

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