Practice Management

Staffing & Scheduling

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

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Showing 3655-3675 of 6,014 articles
Development of a predictive model for retention in HIV care using natural language processing of clinical notes.

OBJECTIVE: Adherence to a treatment plan from HIV-positive patients is necessary to decrease their m...

DS-GCNs: Connectome Classification using Dynamic Spectral Graph Convolution Networks with Assistant Task Training.

Functional connectivity (FC) matrices measure the regional interactions in the brain and have been w...

Chronic kidney disease in Hepatitis C and its association with liver cirrhosis and viral load: Revealing the importance of hematuria.

Hepatitis C virus (HCV) contributed as a risk factor for chronic kidney disease (CKD). Many studies ...

Combined transcranial Direct Current Stimulation and robot-assisted arm training in patients with stroke: a systematic review.

BACKGROUND: Upper limb motor deficits in patients with severe stroke often remain unresolved over ti...

The effect of patient-specific factors on responsiveness to robot-assisted gait training in patients with bilateral spastic cerebral palsy.

BACKGROUND: No general recommendations are yet available for the application of robot-assisted tread...

Prediction and Diagnosis of Venous Thromboembolism Using Artificial Intelligence Approaches: A Systematic Review and Meta-Analysis.

Venous thromboembolism (VTE) is a fatal disease and has become a burden on the global health system....

The effect of robot-assisted gait training on cortical activation in stroke patients: A functional near-infrared spectroscopy study.

OBJECTIVE: To investigate the effects of the robot-assisted gait training on cortical activation and...

Effect of robotic exoskeleton gait training during acute stroke on functional ambulation.

BACKGROUND: Stroke is a leading cause of disability resulting in long-term functional ambulation def...

Privacy-preserving Collaborative Training for Medical Image Analysis Based on Multi-Blockchain.

BACKGROUND: As artificial intelligence and big data analysis develop rapidly, data privacy, especial...

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroent...

Technology Can Augment, but Not Replace, Critical Human Skills Needed for Patient Care.

The practice of medicine is changing rapidly as a consequence of electronic health record adoption, ...

[Application of artificial intelligence in prevention and control of COVID-19 in Guangzhou city].

Since the outbreak of COVID-19, it has spread rapidly throughout the country and even in the world. ...

Robot-assisted minimally invasive thoracolaparoscopic esophagectomy versus open esophagectomy: long-term follow-up of a randomized clinical trial.

Initial results of the ROBOT, which randomized between robot-assisted minimally invasive esophagecto...

A structured training pathway to implement robot-assisted minimally invasive esophagectomy: the learning curve results from a high-volume center.

To ensure safe implementation of robot-assisted minimally invasive esophagectomy (RAMIE), the learni...

[Determination of dacarbazine in the urine of mice with melanoma by high performance liquid chromatography].

Dacarbazine (DTIC) is a first-line chemotherapy drug that is widely used in clinical practice for ma...

Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools.

In the past decade, there has been tremendous interest in applying artificial intelligence (AI) to i...

VR and machine learning: novel pathways in surgical hands-on training.

PURPOSE OF REVIEW: Surgical training has dramatically changed over the last decade. It has become no...

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