Staffing & Scheduling

Enhancing diagnostic accuracy of thyroid nodules: integrating self-learning and artificial intelligence in clinical training.

PURPOSE: This study explores a self-learning method as an auxiliary approach in residency training f...

Effect of Parallel Cognitive-Motor Training Tasks on Hemodynamic Responses in Robot-Assisted Rehabilitation.

Previous studies suggest that the combination of robot-assisted training with other concurrent task...

Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources.

Electricity is generated through various resources and then flows between regions via a complex syst...

The Role of Artificial Intelligence in Obesity Risk Prediction and Management: Approaches, Insights, and Recommendations.

Greater than 650 million individuals worldwide are categorized as obese, which is associated with si...

Enhancing automated right-sided early-stage breast cancer treatments via deep learning model adaptation without additional training.

BACKGROUND: Input data curation and model training are essential, but time-consuming steps in buildi...

A systematic literature review of machine learning techniques for the detection of attention-deficit/hyperactivity disorder using MRI and/or EEG data.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition common in teenager...

The development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas.

Linear and volumetric analysis are the typical methods to measure tumor size. 3D volumetric analysis...

DeepSeek in Healthcare: Revealing Opportunities and Steering Challenges of a New Open-Source Artificial Intelligence Frontier.

Generative Artificial Intelligence (GAI) has driven several advancements in healthcare, with large l...

Advancing tele-perception: a paradigm shift from traditional non-contact sensing to adaptive embodied artificial intelligence systems.

The application of artificial intelligence in the field of mental health: a systematic review.

INTRODUCTION: The integration of artificial intelligence in mental health care represents a transfor...

Constraining an Unconstrained Multi-agent Policy with offline data.

Real-world multi-agent decision-making systems often have to satisfy some constraints, such as harmf...

Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction.

Accurately labeling large datasets is important for biomedical machine learning yet challenging whil...

Artificial Intelligence Model for Detection of Colorectal Cancer on Routine Abdominopelvic CT Examinations: A Training and External-Testing Study.

Radiologists are prone to missing some colorectal cancers (CRCs) on routine abdominopelvic CT exami...

Generative Artificial Intelligence in Medical Education-Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey.

BACKGROUND: Interest has recently increased in generative artificial intelligence (GenAI), a subset ...

The physiological responses to volume-matched high-intensity functional training protocols with varied time domains.

BACKGROUND: High-intensity functional training (HIFT) is typically performed with minimal or no rest...

Comparative performance of multiple ensemble learning models for preoperative prediction of tumor deposits in rectal cancer based on MR imaging.

Ensemble learning can effectively mitigate the risk of model overfitting during training. This study...

Scaling Synthetic Brain Data Generation.

The limited availability of diverse, high-quality datasets is a significant challenge in applying de...

PFPRNet: A Phase-Wise Feature Pyramid With Retention Network for Polyp Segmentation.

Early detection of colonic polyps is crucial for the prevention and diagnosis of colorectal cancer. ...

Modeling Boltzmann-weighted structural ensembles of proteins using artificial intelligence-based methods.

This review highlights recent advances in AI-driven methods for generating Boltzmann-weighted struct...

Can muscle synergies shed light on the mechanisms underlying motor gains in response to robot-assisted gait training in children with cerebral palsy?

BACKGROUND: Children with cerebral palsy (CP) often experience gait impairments. Robot-assisted gait...

Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging.

Ensuring the safety and quality of poultry products requires efficient detection and removal of fore...