Staffing & Scheduling

Analysis of the neural mechanisms of social anxiety based on EEG features and machine learning and construction of a diagnostic model.

Social anxiety is a common psychological problem, and its accurate diagnosis and investigation of un...

Dataset for training neural networks in concrete crack detection: laboratory-classified beam and column images.

The construction industry is increasingly incorporating artificial intelligence into processes for t...

Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identification.

OBJECTIVE: This study aims to tackle the critical challenge of adapting deep learning (DL) models fo...

Comparison of quality, empathy and readability of physician responses versus chatbot responses to common cerebrovascular neurosurgical questions on a social media platform.

BACKGROUND: Social media platforms are utilized by patients prior to scheduling formal consultations...

Equitably Applying Artificial Intelligence in the United States Workforce Using Training and Collaboration.

Advances in artificial intelligence (AI) have raised ethical concerns related to fairness, privacy, ...

Machine learning approaches for predicting the small molecule-miRNA associations: a comprehensive review.

MicroRNAs (miRNAs) are evolutionarily conserved small regulatory elements that are ubiquitous in cel...

The Current Landscape of Artificial Intelligence in Plastic Surgery Education and Training: A Systematic Review.

OBJECTIVE: Artificial intelligence (AI) shows promise in surgery, but its role in plastic surgery ed...

Harnessing the fish gut microbiome and immune system to enhance disease resistance in aquaculture.

The increasing global reliance on aquaculture is challenged by disease outbreaks, exacerbated by ant...

Artificial intelligence revolution in drug discovery: A paradigm shift in pharmaceutical innovation.

Integrating artificial intelligence (AI) into drug discovery has revolutionized pharmaceutical innov...

CdS/CZTSSe heterojunction synaptic memristor: Enabling efficient handwritten digit recognition.

Owing to the outstanding performance of memristors in brain-like parallel computing and data process...

A scalable machine learning multi-local regression framework for potential energy surface fitting across diverse chemical landscapes.

The accurate characterization of the potential energy surface (PES) is fundamental to understanding ...

Deep learning generalization study on optical coherence tomography image denoising.

Noise is a key factor determining imaging quality for optical coherence tomography (OCT). Although d...

ABCD: A Simulation Method for Accelerating Conversational Agents With Applications in Aphasia Therapy.

PURPOSE: Development of aphasia therapies is limited by clinician shortages, patient recruitment cha...

Review of Advanced Technologies and Circular Pathways for Food Waste Valorization.

Food waste (FW) valorization provides a sustainable solution to global waste challenges by enhancing...

Reply to: 'MASLD-Brain Aging Study Biases: Distribution Shift and Self-Cancellation'.

Approaches for Measuring and Predicting Fouling During Thermal Processing of Dairy Solutions.

Fouling during the thermal processing of dairy products remains a significant challenge, reducing op...

Laryngopharyngeal Reflux Prevalence and Predictors Among Doctors.

Laryngopharyngeal reflux (LPR) refers to the retrograde flow of stomach contents into the larynx due...

Development and validation of a fusion model based on multi-phase contrast CT radiomics combined with clinical features for predicting Ki-67 expression in gastric cancer.

The present study aimed to develop and validate a fusion model based on multi-phase contrast-enhance...

Optimizing swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism.

In this study, machine learning was used to optimize the aerobic composting process of swine manure ...

Real-time brain tumor detection in intraoperative ultrasound: From model training to deployment in the operating room.

Intraoperative ultrasound (ioUS) is a valuable tool in brain tumor surgery due to its versatility, a...

A medical information extraction model with contrastive tuning and tagging layer training.

Medical information extraction, as a core task in medical intelligent systems, focuses on extracting...