Work Force

Subject-specific, Impairment-based Robotic Training of Functional Upper Limb Movements.

Significant hand and upper-limb impairment is common post-stroke. Robotic training can administer a high-dose of repetitive movement training to stroke survivors, but its efficacy can be further improved by targeting specific impairments of individual patients. In this study, we developed a new robotic training protocol that identifies specific impairment patterns that degrade functional performan...

Artificial Intelligence and Orthopaedics: An Introduction for Clinicians.

➤. Artificial intelligence (AI) provides machines with the ability to perform tasks using algorithms governed by pattern recognition and self-correction on large amounts of data to narrow options in order to avoid errors. ➤. The 4 things necessary for AI in medicine include big data sets, powerful computers, cloud computing, and open source algorithmic development. ➤. The use of AI in health care ...

[Progress in biomedical data analysis based on deep learning].

Traditional biomedical data analysis technology faces enormous challenges in the context of the big data era. The application of deep learning technol...

[Research on assist-as-needed control strategy of wrist function-rehabilitation robot].

In order to stimulate the patients' active participation in the process of robot-assisted rehabilitation training of stroke patients, the rehabilitati...

Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism.

MOTIVATION: Identification of enhancer-promoter interactions (EPIs) is of great significance to human development. However, experimental methods to id...

The Enterprise Imaging Value Proposition.

As resources in the healthcare environment continue to wane, leaders are seeking ways to continue to provide quality care bounded by the constraints o...

[Assistant diagnose for subclinical keratoconus by artificial intelligence].

To investigate the diagnosis of normal cornea, subclinical keratoconus and keratoconus by artifical intelligence. Diagnostic study. From January 201...

A guide to machine learning for bacterial host attribution using genome sequence data.

With the ever-expanding number of available sequences from bacterial genomes, and the expectation that this data type will be the primary one generate...

Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.

Rapid and reliable identification of insects is important in many contexts, from the detection of disease vectors and invasive species to the sorting ...

Knee exoskeleton enhanced with artificial intelligence to provide assistance-as-needed.

Robotic therapy is a useful method applied during rehabilitation of stroke patients (to regain motor functions). To ensure active participation of the...

Fast honey classification using infrared spectrum and machine learning.

Honey has been one previous natural food in human history. However, as the supply cannot satisfy the market demand, many incidents of adulterated and ...

Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot.

Active rehabilitation training can improve patients' neural engagement and the rehabilitation effects. A position based impedance control strategy is ...

OpenArm 2.0: Automated Segmentation of 3D Tissue Structures for Multi-Subject Study of Muscle Deformation Dynamics.

We present a novel neural-network-based pipeline for segmentation of 3D muscle and bone structures from localized 2D ultrasound data of the human arm....

Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs.

Respiratory diseases account for a significant proportion of deaths and disabilities across the world. Chest X-ray (CXR) analysis remains a common dia...

Towards Data-Driven Autonomous Robot-Assisted Physical Rehabilitation Therapy.

Task-oriented therapy consists of three stages: demonstration, observation and assistance. While demonstration using robots has been extensively studi...

Immediate Effects of Force Feedback and Plantar Somatosensory Stimuli on Inter-limb Coordination During Perturbed Walking.

Single-sided motor weakness, also known as hemiparesis, is the most prevalent gait impairment among stroke survivors, which often results in gait asym...

Visual Biofeedback of Force Information for Eccentric Training of Hemiplegic Patients.

Motor learning issues for hemiplegics not only include motor impairments such as spastic paralysis, but reportedly also an inability to appropriately ...

Multi-purpose Robotic Training Strategies for Neurorehabilitation with Model Predictive Controllers.

One of the main challenges in robotic neuroreha-bilitation is to understand how robots should physically interact with trainees to optimize motor lean...

Prototype Measuring Device for Assessing Interaction Forces between Human Limbs and Rehabilitation Robots - A Proof of Concept Study.

Rehabilitation robots can provide high intensity and dosage training or assist patients in activities of daily living and decrease physical strain on ...

Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting.

IMPORTANCE: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global deman...