Practice Management

Staffing & Scheduling

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

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Clinical features of patients who might benefit more from walking robotic training.

BACKGROUND: Robotic walking training improves probability to reach an autonomous walking in non-ambu...

Can Robots Accelerate the Learning Curve for Surgical Training? An Analysis of Residents and Medical Students.

Surgical traineeship has traditionally been based on a master apprentice model where learning takes ...

Robot-Assisted Body-Weight-Supported Treadmill Training in Gait Impairment in Multiple Sclerosis Patients: A Pilot Study.

This study deals with the use of a robot-assisted body-weight-supported treadmill training in multip...

Training in urological robotic surgery. Future perspectives.

As robotics are becoming more integrated into the medical field, robotic training is becoming more c...

Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning.

MOTIVATION: The hydrophobicity of a monoclonal antibody is an important biophysical property relevan...

[Clinical research on perioperative restrictive fluid therapy combined with preoperative urination training in total hip arthroplasty].

OBJECTIVE: To evaluate the effectiveness and safety of restrictive fluid therapy combined with preop...

[Effect of the Food to Mass Ratio and Hydraulic Retention Time on Hydrogen Production from Fruit and Vegetable Waste].

Semi-continuous biogas production from fruit and vegetable waste by medium temperature anaerobic fer...

Snorkel: Rapid Training Data Creation with Weak Supervision.

Labeling training data is increasingly the largest bottleneck in deploying machine learning systems....

A brain-controlled lower-limb exoskeleton for human gait training.

Brain-computer interfaces have been a novel approach to translate human intentions into movement com...

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.

In plant phenotyping, it has become important to be able to measure many features on large image set...

Robot-Assisted Training of Arm and Hand Movement Shows Functional Improvements for Incomplete Cervical Spinal Cord Injury.

OBJECTIVE: The aim of the study was to demonstrate the feasibility, tolerability, and effectiveness ...

Slow Versus Fast Robot-Assisted Locomotor Training After Severe Stroke: A Randomized Controlled Trial.

BACKGROUND AND PURPOSE: Robot-assisted locomotor training on a bodyweight-supported treadmill is a r...

Robotic Hand-Assisted Training for Spinal Cord Injury Driven by Myoelectric Pattern Recognition: A Case Report.

A 51-year-old man with an incomplete C6 spinal cord injury sustained 26 yrs ago attended twenty 2-hr...

A critical review on the applications of artificial neural networks in winemaking technology.

Since their development in 1943, artificial neural networks were extended into applications in many ...

Effects of dose and duration of Robot-Assisted Gait Training on walking ability of children affected by cerebral palsy.

BACKGROUND: Robot-Assisted Gait Training (RAGT) is a widespread approach for locomotion rehabilitati...

Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

BACKGROUND: Robots that physically assist movement are increasingly used in rehabilitation therapy a...

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