Staffing & Scheduling

Simultaneous assessment and training of an upper-limb amputee using incremental machine-learning-based myocontrol: a single-case experimental design.

BACKGROUND: Machine-learning-based myocontrol of prosthetic devices suffers from a high rate of aban...

Open, Laparoscopic, and Robot-Assisted Radical Prostatectomy Oncological Results: A Reverse Systematic Review.

Systematic reviews (SR) have always been used as the best evidence to compare three radical prostat...

Cues trigger depiction schemas for robots, as they do for human identities.

Clark and Fischer's three levels of depiction of social robots can be conceptualized as cognitive sc...

A systematic review and repeatability study on the use of deep learning for classifying and detecting tuberculosis bacilli in microscopic images.

Tuberculosis (TB) is among the leading causes of death worldwide from a single infectious agent. Thi...

Age-specific biomechanical challenges and engagement in dynamic balance training with robotic or virtual real-time visual feedback.

Challenging balance training that targets age-related neuromuscular and motor coordination deficits ...

Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking.

The analysis of 3D microscopic cell culture images plays a vital role in the development of new ther...

A modified weighted chimp optimization algorithm for training feed-forward neural network.

Swarm intelligence algorithms (SI) have an excellent ability to search for the optimal solution and ...

Effects of robot-assisted gait training on cardiopulmonary function and lower extremity strength in individuals with spinal cord injury: A systematic review and meta-analysis.

CONTEXT: Robot-assisted gait training (RAGT) has been increasingly adopted in many rehabilitation fa...

Data drift in medical machine learning: implications and potential remedies.

Data drift refers to differences between the data used in training a machine learning (ML) model and...

Teaching robotic cystectomy: prospective pilot clinical validation of the ERUS training curriculum.

OBJECTIVE: To provide the first clinical validation of the European Association of Urology Robotic U...

Facilitating the Next Paradigm Shift in Critical Care Through Artificial Intelligence.

AiZynthTrain: Robust, Reproducible, and Extensible Pipelines for Training Synthesis Prediction Models.

We introduce the AiZynthTrain Python package for training synthesis models in a robust, reproducible...

G2GT: Retrosynthesis Prediction with Graph-to-Graph Attention Neural Network and Self-Training.

Retrosynthesis prediction, the task of identifying reactant molecules that can be used to synthesize...

Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging.

BACKGROUND: Magnetic resonance imaging scanner faults can be missed during routine quality assurance...

CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks.

In this paper we present CHARLES (C++ pHotonic Aware neuRaL nEtworkS), a C++ library aimed at provid...

Optical neuroimaging and neurostimulation in surgical training and assessment: A state-of-the-art review.

INTRODUCTION: Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical neuroimaging t...

Review of Natural Language Processing in Pharmacology.

Natural language processing (NLP) is an area of artificial intelligence that applies information tec...

Using Machine Learning To Predict Partition Coefficient (Log ) and Distribution Coefficient (Log ) with Molecular Descriptors and Liquid Chromatography Retention Time.

During preclinical evaluations of drug candidates, several physicochemical (p-chem) properties are m...

Current practises and the future of robotic surgical training.

INTRODUCTION: This study reviews the current state of robotic surgery training for surgeons, includi...

Waste valorization as low-cost media engineering for auxin production from the newly isolated Streptomyces rubrogriseus AW22: Model development.

Indole-3-acetic acid (IAA) represents a crucial phytohormone regulating specific tropic responses in...

Facial reconstruction using 3-D computerized method: A scoping review of Methods, current Status, and future developments.

Facial reconstruction (otherwise known as facial approximation) is an alternative method that has be...