Practice Management

Staffing & Scheduling

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

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Showing 1912-1932 of 6,167 articles
Memory Recall: A Simple Neural Network Training Framework Against Catastrophic Forgetting.

It is widely acknowledged that biological intelligence is capable of learning continually without fo...

SinGAN-Seg: Synthetic training data generation for medical image segmentation.

Analyzing medical data to find abnormalities is a time-consuming and costly task, particularly for r...

Therapeutic use of the humanoid robot, Telenoid, with older adults: A critical interpretive synthesis review.

This review sought to critically evaluate the use of the teleoperated humanoid robotic communication...

Endoscopy image enhancement method by generalized imaging defect models based adversarial training.

Smoke, uneven lighting, and color deviation are common issues in endoscopic surgery, which have incr...

Deep Learning for Ocular Disease Recognition: An Inner-Class Balance.

It can be challenging for doctors to identify eye disorders early enough using fundus pictures. Diag...

Investigating Shift Variance of Convolutional Neural Networks in Ultrasound Image Segmentation.

While accuracy is an evident criterion for ultrasound image segmentation, output consistency across ...

A Performance Improvement Strategy for Concrete Damage Detection Using Stacking Ensemble Learning of Multiple Semantic Segmentation Networks.

Semantic segmentation network-based methods can detect concrete damage at the pixel level. However, ...

Research on the Effectiveness of Probabilistic Stochastic Convolution Neural Network Algorithm in Physical Education Teaching Evaluation.

In practice, PE teaching evaluation based on probabilistic convolutional neural network still faces ...

[Automation and application of robotics in the pathology laboratory].

Over the last 20 years, numerous technical innovations have been introduced to the histopathology la...

A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff.

Watershed climatic diversity poses a hard problem when it comes to finding suitable models to estima...

Antimony as a Programmable Element in Integrated Nanophotonics.

The use of nonlinear elements with memory as photonic computing components has seen a huge surge in ...

Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes.

This research proposes a novel transfer function based on the hyperbolic tangent and the Khalil conf...

Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning.

Accurate and timely occupancy prediction has the potential to improve the efficiency of energy manag...

Machine Learning Prediction of Clinical Trial Operational Efficiency.

Clinical trials are the gatekeepers and bottlenecks of progress in medicine. In recent years, they h...

Training of artificial neural networks with the multi-population based artifical bee colony algorithm.

Nowadays, artificial intelligence has gained recognition in every aspect of life. Artificial neural ...

Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training-The Case of Cancer Detection.

The class distribution of a training dataset is an important factor which influences the performance...

Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training.

Personalized modeling has long been anticipated to approach precise noninvasive blood glucose measur...

A Comprehensive Review of Recent Deep Learning Techniques for Human Activity Recognition.

Human action recognition is an important field in computer vision that has attracted remarkable atte...

Memristor-based analogue computing for brain-inspired sound localization with in situ training.

The human nervous system senses the physical world in an analogue but efficient way. As a crucial ab...

A review on proliferation of artificial intelligence in wind energy forecasting and instrumentation management.

Energy is the source of economic growth, and energy consumption indicates the country's state of dev...

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