Staffing & Scheduling

An equitable and sustainable community of practice framework to address the use of artificial intelligence for global health workforce training.

Artificial Intelligence (AI) technologies and data science models may hold potential for enabling an...

No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence.

The artificial intelligence (AI) revolution has arrived, as AI systems are increasingly being integr...

SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information.

Super-enhancers are large domains on the genome where multiple short typical enhancers within a spec...

A memristor fingerprinting and characterisation methodology for hardware security.

The modern IC supply chain encompasses a large number of steps and manufacturers. In many applicatio...

LSTM-AE for Domain Shift Quantification in Cross-Day Upper-Limb Motion Estimation Using Surface Electromyography.

Although deep learning (DL) techniques have been extensively researched in upper-limb myoelectric co...

Game-based learning as training to use a chemotherapy preparation robot.

INTRODUCTION: In 2015, our university hospital pharmacy acquired the PharmaHelp robot system to auto...

The Feasibility, Proficiency, and Mastery Learning Curves in 635 Robotic Pancreatoduodenectomies Following a Multicenter Training Program: "Standing on the Shoulders of Giants".

OBJECTIVE: To assess the feasibility, proficiency, and mastery learning curves for robotic pancreato...

FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval.

Over the past decade, machine learning (ML) and artificial intelligence (AI) have become increasingl...

Deep learning-based Lorentzian fitting of water saturation shift referencing spectra in MRI.

PURPOSE: Water saturation shift referencing (WASSR) Z-spectra are used commonly for field referencin...

The artificial intelligence (AI) revolution: How important for scientific work and its reliable sharing.

Exploring the use of driving simulation to improve robotic surgery simulator training: an observational case-control study.

The correlation between driving skills and the ability to perform robotic surgery have not yet been ...

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.

Quantifying uncertainty of predictions has been identified as one way to develop more trustworthy ar...

Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy.

A large amount of personal health data that is highly valuable to the scientific community is still ...

Utilizing Simulation to Evaluate Robotic Skill Acquisition and Learning Decay.

BACKGROUND: We aim to evaluate how new robotic skills are acquired and retained by having participan...

Quantization of extraoral free flap monitoring for venous congestion with deep learning integrated iOS applications on smartphones: a diagnostic study.

BACKGROUND: Free flap monitoring is essential for postmicrosurgical management and outcomes but trad...

Knowledge in Motion: A Comprehensive Review of Evidence-Based Human Kinetics.

This comprehensive review examines critical aspects of evidence-based human kinetics, focusing on br...

Machine Learning in Clinical Trials: A Primer with Applications to Neurology.

We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML) and disc...

Strategy to implement a convolutional neural network based ideal model observer via transfer learning for multi-slice simulated breast CT images.

In this work, we propose a convolutional neural network (CNN)-based multi-slice ideal model observer...

A Review Paper about Deep Learning for Medical Image Analysis.

Medical imaging refers to the process of obtaining images of internal organs for therapeutic purpose...

Artificial intelligence applications in brachytherapy: A literature review.

PURPOSE: Artificial intelligence (AI) has the potential to simplify and optimize various steps of th...

Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity Prediction.

Microalgal biotechnology holds the potential for renewable biofuels, bioproducts, and carbon capture...