Staffing & Scheduling

High-Performance Photochromic Hydrogels for Rewritable Information Record.

Rewritable information record materials usually demand not only reversibly stimuli-responsive abilit...

Timely and Efficient AI Insights on EHR: System Design.

A patient's electronic health record (EHR) contains extensive documentation of the patient's medical...

Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.

Dietary supplements (DSs) have been widely used in the U.S. and evaluated in clinical trials as pote...

Supported progressive resistance exercise training to counter the adverse side effects of robot-assisted radical prostatectomy: a randomised controlled trial.

PURPOSE: To investigate the effects of a supported home-based progressive resistance exercise traini...

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review.

With the advancement in artificial intelligence (AI) and machine learning (ML) techniques, researche...

See Like an Expert: Gaze-Augmented Training Enhances Skill Acquisition in a Virtual Reality Robotic Suturing Task.

The da Vinci Skills Simulator (DVSS) is an effective platform for robotic skills training. Novel tr...

MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets.

Deep learning-based methods have shown to achieve excellent results in a variety of domains, however...

Man Versus Machine? Radiologists and Artificial Intelligence Work Better Together.

Preoperative Bladder Bowel Dysfunction Is the Most Important Predictive Factor for Postoperative Urinary Retention After Robot-Assisted Laparoscopic Ureteral Reimplantation via An Extravesical Approach: A Multi-Center Study.

Postoperative acute urinary retention (pAUR) is a known occurrence after robot-assisted laparoscopi...

Performance evaluation of artificial intelligence paradigms-artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction.

Flood prediction has gained prominence world over due to the calamitous socio-economic impacts this ...

Chemometrics-based models hyphenated with ensemble machine learning for retention time simulation of isoquercitrin in Coriander sativum L. using high-performance liquid chromatography.

In this research, two nonlinear models, namely; adaptive neuro-fuzzy inference system and feed-forwa...

PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks.

Task-trained artificial recurrent neural networks (RNNs) provide a computational modeling framework ...

Autoperforation of two-dimensional materials to generate colloidal state machines capable of locomotion.

A central ambition of the robotics field has been to increasingly miniaturize such systems, with per...

Formulation of a mixed fruit beverage using fuzzy logic optimization of sensory data and designing its batch thermal pasteurization process.

The study aims to formulate a mixed fruit beverage through sensory analysis, and the composition was...

A Dual-Dimer method for training physics-constrained neural networks with minimax architecture.

Data sparsity is a common issue to train machine learning tools such as neural networks for engineer...

Use of Artificial Intelligence in Endoscopic Training: Is Deskilling a Real Fear?

Energy-dependent protein folding: modeling how a protein folding machine may work.

Proteins fold robustly and reproducibly , but many cannot fold in isolation from cellular componen...

The diagnosis of tuberculous meningitis in adults and adolescents: protocol for a systematic review and individual patient data meta-analysis to inform a multivariable prediction model.

Tuberculous meningitis (TBM) is the most lethal and disabling form of tuberculosis. Delayed diagnos...

Definition of a Structured Training Curriculum for Robot-assisted Radical Cystectomy with Intracorporeal Ileal Conduit in Male Patients: A Delphi Consensus Study Led by the ERUS Educational Board.

Robot-assisted radical cystectomy (RARC) continues to expand, and several surgeons start training fo...

Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection.

Nowadays, deep learning-based models have been widely developed for atrial fibrillation (AF) detecti...

Using natural language processing to classify social work interventions.

OBJECTIVES: Health care organizations are increasingly employing social workers to address patients'...