Practice Management

Staffing & Scheduling

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

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A sEMG Classification Framework with Less Training Data.

Supervised machine learning algorithms, such as Artificial Neural Network (ANN), have been applied t...

[Study on the center-driven multiple degrees of freedom upper limb rehabilitation training robot].

With the aging of the society, the number of stroke patients has been increasing year by year. Compa...

The role of robotic gait training coupled with virtual reality in boosting the rehabilitative outcomes in patients with multiple sclerosis.

Motor impairment is the most common symptom in multiple sclerosis (MS). Thus, a variety of new rehab...

An Optimal Method of Training the Specific Lower Limb Muscle Group Using an Exoskeletal Robot.

This paper suggests a novel method of strengthening specific muscle groups in the lower limb during ...

Effects of integrating rhythmic arm swing into robot-assisted walking in patients with subacute stroke: a randomized controlled pilot study.

This study aimed to identify the effects of rhythmic arm swing during robot-assisted walking trainin...

Ankle passive and active movement training in children with acute brain injury using a wearable robot.

OBJECTIVE: To evaluate the feasibility and effectiveness of a wearable robotic device in guiding iso...

Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology.

The increasing availability of electronic health data presents a major opportunity in healthcare for...

The effects of robot-assisted gait training using virtual reality and auditory stimulation on balance and gait abilities in persons with stroke.

BACKGROUND: Robot-assisted gait training provide a big therapeutic advantage in functional mobility ...

Comparative Analysis of Algorithmic Approaches for Auto-Coding with ICD-10-AM and ACHI.

Clinical coding is done using ICD-10-AM (International Classification of Diseases, version 10, Austr...

Artificial intelligence in neurosciences: A clinician's perspective.

Even after making allowance for an unprecedented hype, it is an undeniable fact that, in the coming ...

Effects of robot-assisted training on upper limb functional recovery during the rehabilitation of poststroke patients.

BACKGROUND: The study aims to determine the effectiveness of robot-assisted training in the recovery...

The Human Touch: Practical and Ethical Implications of Putting AI and Robotics to Work for Patients.

We live in a time when science fiction can quickly become science fact. Within a generation, the Int...

Towards Phenotyping of Clinical Trial Eligibility Criteria.

BACKGROUND: Medical plaintext documents contain important facts about patients, but they are rarely ...

Automated Error Detection in Physiotherapy Training.

BACKGROUND: Manual skills teaching, such as physiotherapy education, requires immediate teacher feed...

A Review of Decision Support Systems for Smart Homes in the Health Care System.

The use of decision support systems for smart homes can provide attractive solutions for challenges ...

Estimating a Bias in ICD Encodings for Billing Purposes.

ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitmen...

Effects of Walkbot gait training on kinematics, kinetics, and clinical gait function in paraplegia and quadriplegia.

BACKGROUND: The robotic-assisted gait training (RAGT) system has gained recognition as an innovative...

Training set extension for SVM ensemble in P300-speller with familiar face paradigm.

BACKGROUND: P300-spellers are brain-computer interface (BCI)-based character input systems. Support ...

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