Practice Management

Staffing & Scheduling

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

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Showing 1996-2016 of 6,170 articles
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers.

Large datasets with high-quality labels required to train deep neural networks are challenging to ob...

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.

This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service whil...

Universality of gradient descent neural network training.

It has been observed that design choices of neural networks are often crucial for their successful o...

A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies.

Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on ex...

Visual attention prediction improves performance of autonomous drone racing agents.

Humans race drones faster than neural networks trained for end-to-end autonomous flight. This may be...

Detection of Backdoors in Trained Classifiers Without Access to the Training Set.

With wide deployment of deep neural network (DNN) classifiers, there is great potential for harm fro...

Versatile memristor for memory and neuromorphic computing.

The memristor is a promising candidate to implement high-density memory and neuromorphic computing. ...

Performance Degradation Estimation of High-Speed Train Bogie Based on 1D-ConvLSTM Time-Distributed Convolutional Neural Network.

High-speed train bogies are essential for the safety and comfort of train operation. The performance...

Towards improving fast adversarial training in multi-exit network.

Adversarial examples are usually generated by adding adversarial perturbations on clean samples, des...

Acceptability and Preliminary Results of Technology-Assisted Balance Training in Parkinson's Disease.

(1) Background: Parkinson's Disease (PD) is one of the most common causes of disability among older ...

Prediction of clinical trial enrollment rates.

Clinical trials represent a critical milestone of translational and clinical sciences. However, poor...

Analysis of factors affecting the implementation of green human resource management using a hybrid fuzzy AHP and type-2 fuzzy DEMATEL approach.

The topic of green human resource management has attracted considerable attention during this last d...

Robot-assisted gait training with auditory and visual cues in Parkinson's disease: A randomized controlled trial.

BACKGROUND: Robot-assisted gait training (RAGT) may have beneficial effects on Parkinson's disease (...

Application of Unsupervised Migration Method Based on Deep Learning Model in Basketball Training.

Nowadays, China's sports industry has attained effective development, but the athlete's efficiency i...

LHPE-nets: A lightweight 2D and 3D human pose estimation model with well-structural deep networks and multi-view pose sample simplification method.

The cross-view 3D human pose estimation model has made significant progress, it better completed the...

Hiding Assistive Robots During Training in Immersive VR Does Not Affect Users' Motivation, Presence, Embodiment, Performance, Nor Visual Attention.

Combining immersive virtual reality (VR) using head-mounted displays (HMDs) with assisting robotic d...

Feasibility, effectiveness and transferability of a novel mastery-based virtual reality robotic training platform for general surgery residents.

BACKGROUND: The annual number of robotic surgical procedures is on the rise. Robotic surgery require...

Vulture-Based AdaBoost-Feedforward Neural Frame Work for COVID-19 Prediction and Severity Analysis System.

In today's scenario, many scientists and medical researchers have been involved in deep research for...

Organic electrochemical neurons and synapses with ion mediated spiking.

Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating...

Fuzzy Support Tensor Product Adaptive Image Classification for the Internet of Things.

Computer vision is one of the hottest research directions in artificial intelligence at present, and...

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