Work Force

A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks.

The rapid development of deep neural networks (DNNs) in recent years can be attributed to the variou...

Training in robotic Hepatobiliary and pancreatic surgery: a step up approach.

The Importance of the Institution of a Robotic Curriculum on Resident Training and Performance.

In 2018, general surgery topped the number of robotic cases. Over 90% of residents participate, but ...

Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine.

Clinical databases, particularly those composed of big data, face growing security challenges. Block...

Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising.

The explosive rise of the use of Computer tomography (CT) imaging in medical practice has heightened...

Creating a training set for artificial intelligence from initial segmentations of airways.

Airways segmentation is important for research about pulmonary disease but require a large amount of...

Using an artificial neural network to develop an optimal model of straight punch in boxing and training in punch techniques based on this model and real-time feedback.

The work was aimed to develop an optimal model of a straight punch in boxing based on an artificial ...

Current Barriers in Robotic Surgery Training for General Surgery Residents.

OBJECTIVE: To assess the current barriers in robotic surgery training for general surgery residents.

The Effects of Over-Ground Robot-Assisted Gait Training for Children with Ataxic Cerebral Palsy: A Case Report.

Poor balance and ataxic gait are major impediments to independent living in ataxic cerebral palsy (C...

Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises.

Artificial intelligence companies are different from traditional labor-intensive and capital-intensi...

90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c.

Previously published photoplethysmography-(PPG) based non-invasive blood glucose (NIBG) measurements...

Abnormal synergistic gait mitigation in acute stroke using an innovative ankle-knee-hip interlimb humanoid robot: a preliminary randomized controlled trial.

Abnormal spasticity and associated synergistic patterns are the most common neuromuscular impairment...

Standard for the Quantification of a Sterilization Effect Using an Artificial Intelligence Disinfection Robot.

Recent outbreaks and the worldwide spread of COVID-19 have challenged mankind with unprecedented dif...

Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.

BACKGROUND: Delays in patient flow and a shortage of hospital beds are commonplace in hospitals duri...

A Hybrid Convolutional Neural Network Model for Diagnosis of COVID-19 Using Chest X-ray Images.

COVID-19 declared as a pandemic that has a faster rate of infection and has impacted the lives and t...

Opportunities and Barriers to Rural Telerobotic Surgical Health Care in 2021: Report and Research Agenda from a Stakeholder Workshop.

There are well-recognized challenges to delivering specialty health care in rural settings. These c...

Genetic diversity in nutritional composition of oat ( L.) germplasm reported from Pakistan.

In the present study, 30 potential germplasm of oat ( L.) were subjected to proximate, elemental, an...

Patient Interactions With an Automated Conversational Agent Delivering Pretest Genetics Education: Descriptive Study.

BACKGROUND: Cancer genetic testing to assess an individual's cancer risk and to enable genomics-info...

Deep learning-assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge.

OBJECTIVES: To assess Prostate Imaging Reporting and Data System (PI-RADS)-trained deep learning (DL...

Simulation and beyond - Principles of effective obstetric training.

Simulation training provides a safe, non-judgmental environment where members of the multi-professio...

Training method and system for stress management and mental health care of managers based on deep learning.

In recent years, with the rapid development of the economy, in order to stabilize in the market and ...