Work Force

Ankle rehabilitation robot training for stroke patients with foot drop: Optimizing intensity and frequency.

BACKGROUND: Robotic solutions for ankle joint physical therapy have extensively been researched. The...

New kid on the block: Artificial intelligence just moved into town.

This article describes the experience of a resident physician on the burnout-prone demands of postgr...

Effects of end-effector robot-assisted gait training on gait ability, muscle strength, and balance in patients with spinal cord injury.

BACKGROUND: There is no randomized controlled study about the effects of end-effector robot-assisted...

Content analysis of psychological first aid training manuals via topic modelling.

Psychological First Aid (PFA) is practiced worldwide. This practice in English is guided through a ...

Task-oriented arm training for stroke patients based on remote handling technology concepts: A feasibility study.

BACKGROUND: Improving arm-hand skill performance is a major therapeutic target in stroke rehabilitat...

Cortical activation in robot-assisted dynamic and static resistance training combining VR interaction: An fNIRS based pilot study.

BACKGROUND: There are few isometric training systems based on upper limb rehabilitation robots. Its ...

Discovering misannotated lncRNAs using deep learning training dynamics.

MOTIVATION: Recent experimental evidence has shown that some long non-coding RNAs (lncRNAs) contain ...

Spring damping based control for a novel lower limb rehabilitation robot with active flexible training planning.

BACKGROUND: During neurological rehabilitation training for patients with lower limb dysfunction, ac...

Application of Machine Learning Technology in the Prediction of ADME- Related Pharmacokinetic Parameters.

BACKGROUND: As an important determinant in drug discovery, the accurate analysis and acquisition of ...

Accounting Conformational Dynamics into Structural Modeling Reflected by Cryo-EM with Deep Learning.

With the continuous development of structural biology, the requirement for accurate threedimensional...

[Follow control of upper limb rehabilitation training based on Kinect and NAO robot].

Gesture imitation is a common rehabilitation strategy in limb rehabilitation training. In traditiona...

An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction.

OBJECTIVE: Distributed learning avoids problems associated with central data collection by training ...

An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation.

BACKGROUND: Electroencephalogram (EEG) monitoring is recommended as routine in newborn neurocritical...

Outpatient Robotic surgery: Considerations for the Anesthesiologist.

A shortage of inpatient beds and nurses during the coronavirus disease 2019 pandemic has lent priori...

Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI.

The lack of diversity, equity, and inclusion continues to hamper the artificial intelligence (AI) fi...

Effects of a lower limb rehabilitation robot with various training modes in patients with stroke: A randomized controlled trial.

BACKGROUND: The effect of robot-assisted gait training has been demonstrated to improve gait recover...

Key role of neuronal diversity in structured reservoir computing.

Chaotic time series have been captured by reservoir computing models composed of a recurrent neural ...

Interatomic force from neural network based variational quantum Monte Carlo.

Accurate ab initio calculations are of fundamental importance in physics, chemistry, biology, and ma...

SVM Communications: Contrast media shortage and Society updates.

Intensity control of robot-assisted gait training based on biometric data: Preliminary study.

OBJECTIVE: This study is aimed to compare the effect of robot-assisted gait training when the intens...

SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networks.

The X-ray diffraction (XRD) technique based on crystallography is the main experimental method to an...