Staffing & Scheduling

A systematic literature review on the applications of recurrent neural networks in code clone research.

Code clones, referring to code fragments that are either similar or identical and are copied and pas...

Do children with cerebral palsy dream of electric legs? The effects of robot-assisted gait training.

Training intensity of robot-assisted gait training in children with cerebral palsy.

AIM: We compared three different intensities of robot-assisted gait training (RAGT) for achieving fa...

Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning.

X-ray imaging plays a crucial role in diagnostic medicine. Yet, a significant portion of the global ...

Robot-Assisted Training to Improve Proprioception of Wrist.

In recent years, robot-assisted training has been shown to significantly improve motor function and ...

A systematic literature review of computer vision-based biomechanical models for physical workload estimation.

Ergonomic risks, driven by strenuous physical demands in complex work settings, are prevalent across...

Point-Of-Care low-field MRI in acute Stroke (POCS): protocol for a multicentric prospective open-label study evaluating diagnostic accuracy.

INTRODUCTION: Fast and accurate diagnosis of acute stroke is crucial to timely initiate reperfusion ...

A comprehensive review on artificial intelligence in water treatment for optimization. Clean water now and the future.

Given the severe effects that toxic compounds present in wastewater streams have on humans, it is im...

Edge roughness quantifies impact of physician variation on training and performance of deep learning auto-segmentation models for the esophagus.

Manual segmentation of tumors and organs-at-risk (OAR) in 3D imaging for radiation-therapy planning ...

Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study.

Automated skills assessment can provide surgical trainees with objective, personalized feedback dur...

A systematic review of the application of deep learning techniques in the physiotherapeutic therapy of musculoskeletal pathologies.

Physiotherapy is a critical area of healthcare that involves the assessment and treatment of physica...

DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training.

Conception and prospective multicentric validation of a Robotic Surgery Training Curriculum (RoSTraC) for surgical residents: from simulation via laboratory training to integration into the operation room.

There is a lack of training curricula and educational concepts for robotic-assisted surgery (RAS). I...

Current practice and unmet training needs in robotic-assisted radical prostatectomy: investigation from the Junior ERUS/YAU working group.

PURPOSE: To access the current scenario of robotic-assisted radical prostatectomy training in multip...

Use of a Perfused Cadaver for Training of Robotic Pancreaticoduodenectomy Allows for Realistic Tissue Dissection and Management of Intra-Operative Bleeding.

A Systematic Review and Identification of the Challenges of Deep Learning Techniques for Undersampled Magnetic Resonance Image Reconstruction.

Deep learning (DL) in magnetic resonance imaging (MRI) shows excellent performance in image reconstr...

[Development of prognostic clinical and genetic models of the risk of low bone mineral density using neural network training].

BACKGROUND: Osteoporosis is a common age-related disease with disabling consequences, the early diag...

Comparing the performance of statistical, machine learning, and deep learning algorithms to predict time-to-event: A simulation study for conversion to mild cognitive impairment.

Mild Cognitive Impairment (MCI) is a condition characterized by a decline in cognitive abilities, sp...

Annotated dataset for training deep learning models to detect astrocytes in human brain tissue.

Astrocytes, a type of glial cell, significantly influence neuronal function, with variations in morp...

AIRI: Predicting Retention Indices and Their Uncertainties Using Artificial Intelligence.

The Kováts retention index (RI) is a quantity measured using gas chromatography and is commonly used...

Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements.

Using tibial sensors in total knee replacements (TKRs) can enhance patient outcomes and reduce early...