Practice Management

Staffing & Scheduling

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

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The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine.

Simulation-based training is increasingly being used for assessment and training of psychomotor skil...

Robot-assisted arm training for treating adult patients with distal radius fracture: a proof-of-concept pilot study.

BACKGROUND: Fracture of the distal radius is a common wrist injury. As to its management after ortho...

Causal importance of low-level feature selectivity for generalization in image recognition.

Although our brain and deep neural networks (DNNs) can perform high-level sensory-perception tasks, ...

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare.

OBJECTIVE: This work aims to provide a review of the existing literature in the field of automated m...

Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance.

In data-driven deep learning-based modeling, data quality may substantially influence classification...

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.

Recent advances in deep learning for medical image segmentation demonstrate expert-level accuracy. H...

Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols.

Background Although several deep learning (DL) calcium scoring methods have achieved excellent perfo...

Efficient treatment of outliers and class imbalance for diabetes prediction.

Learning from outliers and imbalanced data remains one of the major difficulties for machine learnin...

The impact of different training load quantification and modelling methodologies on performance predictions in elite swimmers.

The use of rolling averages to analyse training data has been debated recently. We evaluated two tra...

A Comparison between Mouse, , and Robot Odor Plume Navigation Reveals Advantages of Mouse Odor Tracking.

Localization of odors is essential to animal survival, and thus animals are adept at odor navigation...

Artificial Intelligence in Radiology Residency Training.

Artificial intelligence (AI) is an emerging technology that brings a wide array of new tools to the ...

Automatic versus manual tuning of robot-assisted gait training in people with neurological disorders.

BACKGROUND: In clinical practice, therapists choose the amount of assistance for robot-assisted trai...

Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers.

Capsule networks (CapsNets), a new class of deep neural network architectures proposed recently by H...

Classification of glomerular hypercellularity using convolutional features and support vector machine.

Glomeruli are histological structures of the kidney cortex formed by interwoven blood capillaries, a...

Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review.

Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit sensorimotor rhy...

Optimal memory-aware backpropagation of deep join networks.

Deep learning training memory needs can prevent the user from considering large models and large bat...

Adaptive Ankle Resistance from a Wearable Robotic Device to Improve Muscle Recruitment in Cerebral Palsy.

Individuals with cerebral palsy can have weak and poorly coordinated ankle plantar flexor muscles th...

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