Work Force

Unity and diversity in working memory load: Evidence for the separability of the executive functions updating and inhibition using machine learning.

OBJECTIVE: According to current theoretical models of working memory (WM), executive functions (EFs)...

Self-selected speed gait training in Parkinson's disease: robot-assisted gait training with virtual reality versus gait training on the ground.

BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder causing progressive gait disabi...

Robot-Assisted Reach Training With an Active Assistant Protocol for Long-Term Upper Extremity Impairment Poststroke: A Randomized Controlled Trial.

OBJECTIVE: To assess whether robot-assisted reach training (RART) with an active assistant protocol ...

Development, Dynamic Modeling, and Multi-Modal Control of a Therapeutic Exoskeleton for Upper Limb Rehabilitation Training.

Robot-assisted training is a promising technology in clinical rehabilitation providing effective tre...

A data-driven artificial intelligence model for remote triage in the prehospital environment.

In a mass casualty incident, the factors that determine the survival rate of injured patients are di...

Master clinical medical knowledge at certificated-doctor-level with deep learning model.

Mastering of medical knowledge to human is a lengthy process that typically involves several years o...

Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.

Image guidance improves tissue sampling during biopsy by allowing the physician to visualize the tip...

Effects of robot-(Morning Walk) assisted gait training for patients after stroke: a randomized controlled trial.

OBJECTIVE:: To investigate the effects of Morning Walk-assisted gait training for patients with stro...

Satisfaction and Technology Evaluation of a Telehealth Robotic Program to Optimize Healthy Independent Living for Older Adults.

BACKGROUND AND PURPOSE: With the growth in the aging population, and shortage of primary care provid...

Progress in the Development and Challenges for the Use of Artificial Kidneys and Wearable Dialysis Devices.

BACKGROUND: Renal transplantation is the treatment of choice for chronic kidney disease (CKD) patien...

Robotics in Nursing: A Scoping Review.

PURPOSE: Driven by the shortage in qualified nurses and the high percentage of aging populations, th...

ASO Author Reflections: Novel Robotic Training Curriculum Used in Complex Surgical Oncology.

Molecular imaging with neural training of identification algorithm (neural network localization identification).

Superresolution localization microscopy strongly relies on robust identification algorithms for accu...

Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services.

In online health expert question-answering (HQA) services, it is significant to automatically determ...

Dual-task training of children with neuromotor disorders during robot-assisted gait therapy: prerequisites of patients and influence on leg muscle activity.

BACKGROUND: Walking in daily life is complex entailing various prerequisites such as leg strength, t...

Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images.

Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for...

A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis.

In this paper a novel training technique is proposed to offer an efficient solution for neural netwo...

Robot-assisted gait training to reduce pusher behavior: A randomized controlled trial.

OBJECTIVE: To determine the effects of 2 weeks of intensive robot-assisted gait training (RAGT) on p...

Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook.

OBJECTIVES:  To summarize recent research and present a selection of the best papers published in 20...

A marker-based contactless catheter-sensing method to detect surgeons' operations for catheterization training systems.

It is challenging to position a catheter or a guidewire within a patient's complicated and delicate ...

A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training.

BACKGROUND: We described a novel multi-step retinal fundus image reading system for providing high-q...