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 2710-2730 of 6,187 articles
Training high-performance and large-scale deep neural networks with full 8-bit integers.

Deep neural network (DNN) quantization converting floating-point (FP) data in the network to integer...

Application of machine learning to predict monomer retention of therapeutic proteins after long term storage.

An important aspect of initial developability assessments as well formulation development and select...

A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration.

To achieve accurate and fast deformable image registration (DIR) for pulmonary CT, we proposed a Mul...

Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach.

Cardiac magnetic resonance imaging (MRI) provides a wealth of imaging biomarkers for cardiovascular ...

Training and Validation of Deep Neural Networks for the Prediction of 90-Day Post-Liver Transplant Mortality Using UNOS Registry Data.

Prediction models of post-liver transplant mortality are crucial so that donor organs are not alloca...

Interpreting neural decoding models using grouped model reliance.

Machine learning algorithms are becoming increasingly popular for decoding psychological constructs ...

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke.

BACKGROUND: The majority of stroke survivors experiences significant hand impairments, as weakness a...

Anti-toxoplasma, antioxidant and cytotoxic activities of (Fée) T. Moore hexane fraction.

The apicomplexan parasite () causes toxoplasmosis in humans. Pyrimethamine and sulfadiazine that ar...

A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control.

An important barrier to commercialization of pattern recognition myoelectric control of prostheses i...

Highest ambulatory speed using Lokomat gait training for individuals with a motor-complete spinal cord injury: a clinical pilot study.

BACKGROUND: Motor impairment and loss of ambulatory function are major consequences of a spinal cord...

Junctionless Poly-GeSn Ferroelectric Thin-Film Transistors with Improved Reliability by Interface Engineering for Neuromorphic Computing.

Ferroelectric HfZrO (Fe-HZO) with a larger remnant polarization () is achieved by using a poly-GeSn ...

The METLIN small molecule dataset for machine learning-based retention time prediction.

Machine learning has been extensively applied in small molecule analysis to predict a wide range of ...

Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children.

The purpose of this study was to develop and test the performance of a deep learning-based algorithm...

Re-examining physician-scientist training through the prism of the discovery-invention cycle.

The training of physician-scientists lies at the heart of future medical research. In this commentar...

An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images.

Segmentation of prostate in medical imaging data (e.g., CT, MRI, TRUS) is often considered as a crit...

Training neural networks to encode symbols enables combinatorial generalization.

Combinatorial generalization-the ability to understand and produce novel combinations of already fam...

Improving gesture-based interaction between an assistive bathing robot and older adults via user training on the gestural commands.

BACKGROUND: Gesture-based human-robot interaction (HRI) depends on the technical performance of the ...

Browse Categories