Practice Management

Staffing & Scheduling

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

6,187 articles
Stay Ahead - Weekly Staffing & Scheduling research updates
Subscribe
Browse Categories
Showing 2311-2331 of 6,187 articles
A review of medical image data augmentation techniques for deep learning applications.

Research in artificial intelligence for radiology and radiotherapy has recently become increasingly ...

Deep-Learning-Based Emergency Stop Prediction for Robotic Lower-Limb Rehabilitation Training Systems.

Robotic lower-limb rehabilitation training is a better alternative for the physical training efforts...

Fragmentation in the future of work: A horizon scan examining the impact of the changing nature of work on workers experiencing vulnerability.

INTRODUCTION: The future of work is characterized by changes that could disrupt all aspects of the n...

Highly Sensitive Ultrastable Electrochemical Sensor Enabled by Proton-Coupled Electron Transfer.

Electrochemical sensors are critical to artificial intelligence by virtue of capability of mimicking...

Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study.

There is little evidence on the applicability of deep learning (DL) in the segmentation of acute isc...

Inter-Subject Domain Adaptation for CNN-Based Wrist Kinematics Estimation Using sEMG.

Recently, convolutional neural network (CNN) has been widely investigated to decode human intentions...

Machine learning for surgical time prediction.

BACKGROUND AND OBJECTIVE: Operating Rooms (ORs) are among the most expensive services in hospitals. ...

Au-Ag core-shell composite nanoparticles as a selective and sensitive plasmonic chemical probe for l-cysteine detection in (lentils).

The present work reported is a simple and selective method for the colorimetrical detection of l-cys...

Student-Performulator: Predicting Students' Academic Performance at Secondary and Intermediate Level Using Machine Learning.

Forecasting academic performance of student has been a substantial research inquest in the Education...

Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set.

In the last two decades, a large number of machine-learning-based predictors for the activities of a...

Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification.

In recent years, person re-identification (re-ID) has achieved relatively good performance, benefiti...

Identifying factors associated with roadside work zone collisions using machine learning techniques.

Identifying factors that are associated with the probability of roadside work zone collisions enable...

The case for AI-driven cancer clinical trials - The efficacy arm in silico.

Pharmaceutical agents in oncology currently have high attrition rates from early to late phase clini...

Customizing Robot-Assisted Passive Neurorehabilitation Exercise Based on Teaching Training Mechanism.

Passive movement is an important mean of rehabilitation for stroke survivors in the early stage or w...

A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training.

This paper presents a novel natural gradient and Hessian-free (NGHF) optimisation framework for neur...

Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry.

Crosslinking mass spectrometry has developed into a robust technique that is increasingly used to in...

Robot-Assisted Autism Therapy (RAAT). Criteria and Types of Experiments Using Anthropomorphic and Zoomorphic Robots. Review of the Research.

Supporting the development of a child with autism is a multi-profile therapeutic work on disturbed a...

Anatomy-aided deep learning for medical image segmentation: a review.

Deep learning (DL) has become widely used for medical image segmentation in recent years. However, d...

Fin sweep angle does not determine flapping propulsive performance.

The importance of the leading-edge sweep angle of propulsive surfaces used by unsteady swimming and ...

Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.

Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an indivi...

Browse Categories