Practice Management

Staffing & Scheduling

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

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Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke.

BACKGROUND: Electromechanical and robot-assisted arm training devices are used in rehabilitation, an...

Incidence of nonresponse and individual patterns of response following sprint interval training.

The current study sought to explore the incidence of nonresponders for maximal or submaximal perform...

Evaluation of a transcutaneous method to assess canine liver function by indocyanine green plasma disappearance rate in healthy adult Beagle dogs.

A non-invasive, transcutaneous method using near infrared spectroscopy to assess indocyanine green p...

Resident training in a new robotic thoracic surgery program.

BACKGROUND: The volume of robot-assisted operations has drastically increased over the past decade. ...

Superficial Zone Extracellular Matrix Extracts Enhance Boundary Lubrication of Self-Assembled Articular Cartilage.

OBJECTIVE: Previous work has shown that increasing the production of boundary lubricant, superficial...

Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training.

Dexterity and procedural knowledge are two critical skills that surgeons need to master to perform a...

Noise-enhanced convolutional neural networks.

Injecting carefully chosen noise can speed convergence in the backpropagation training of a convolut...

Pharmacokinetic study of ACT-132577 in rat plasma by ultra performance liquid chromatography-tandem mass spectrometry.

It was reported that macitentan was metabolized predominantly by cytochrome P450 3A4, and ACT-132577...

Gait speed using powered robotic exoskeletons after spinal cord injury: a systematic review and correlational study.

Powered robotic exoskeletons are an emerging technology of wearable orthoses that can be used as an ...

Long-range recruitment of Martinotti cells causes surround suppression and promotes saliency in an attractor network model.

Although the importance of long-range connections for cortical information processing has been ackno...

Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke.

BACKGROUND: Assistive and robotic training devices are increasingly used for rehabilitation of the h...

Optimal stimulus scheduling for active estimation of evoked brain networks.

OBJECTIVE: We consider the problem of optimal probing to learn connections in an evoked dynamic netw...

Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance.

Application of personalized medicine requires integration of different data to determine each patien...

Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices.

The development of quantitative structure-retention relationships (QSRR) aims at constructing an app...

Maximizing lipocalin prediction through balanced and diversified training set and decision fusion.

Lipocalins are short in sequence length and perform several important biological functions. These pr...

Feasibility of cardiopulmonary exercise testing and training using a robotics-assisted tilt table in dependent-ambulatory stroke patients.

BACKGROUND: We evaluated the feasibility of an augmented robotics-assisted tilt table (RATT) for inc...

Machine-Learning-Based Analysis in Genome-Edited Cells Reveals the Efficiency of Clathrin-Mediated Endocytosis.

Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell ...

Adaptive optimization by 6 DOF robotic couch in prostate volumetric IMRT treatment: rototranslational shift and dosimetric consequences.

The purpose of this study was to investigate the magnitude and dosimetric relevance of translational...

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