Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Enhancing Chronic Pain Nursing Diagnosis Through Machine Learning: A Performance Evaluation.

This study proposes an evaluation of the efficacy of machine learning algorithms in classifying chro...

Artificial Intelligent and Internet of Things framework for sustainable hazardous waste management in hospitals.

Healthcare activities in hospitals generate numerous types of post-use waste materials that can be c...

The future of HIV diagnostics: an exemplar in infectious diseases.

Over the past 40 years, diagnostics have become the backbone of HIV prevention, treatment, and reten...

Machine learning and clinical EEG data for multiple sclerosis: A systematic review.

Multiple Sclerosis (MS) is a chronic neuroinflammatory disease of the Central Nervous System (CNS) i...

The impact of partner interaction on brief social buffering in adolescent female rats as analyzed by deep learning-based object detection algorithms.

Social buffering is a phenomenon whereby the stress response of anyone exposed to a distressing stim...

The data analysis of sports training by ID3 decision tree algorithm and deep learning.

In order to improve the accuracy and efficiency of sports training data analysis, this paper propose...

Human-generative AI collaboration enhances task performance but undermines human's intrinsic motivation.

In a series of four online experimental studies (total N = 3,562), we investigated the performance a...

Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery.

Supernumerary robotic finger (SRF) has shown unique advantages in the field of motor augmentation an...

Machine learning models for minimizing aggravation in work-related musculoskeletal disorders among slaughterhouse workers.

BackgroundWork-related musculoskeletal disorders (WMSDs) are common in Brazilian slaughterhouses. Th...

AI in Home Care-Evaluation of Large Language Models for Future Training of Informal Caregivers: Observational Comparative Case Study.

BACKGROUND: The aging population presents an accomplishment for society but also poses significant c...

Application and optimization of the U-Net++ model for cerebral artery segmentation based on computed tomographic angiography images.

Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essent...

Breaking the Trade-Off Between Complexity and Absorbing Performance in Metamaterials Through Intelligent Design.

Spectrally selective absorbers garner significant attention across diverse domains owing to their pi...

Bayesian-optimized recursive machine learning for predicting human-induced changes in suspended sediment transport.

The suspended sediment load (SSL) of a river is a key indicator of water resource management, river ...

Real-time health monitoring by examining the role of next-generation elements in a medical app.

The healthcare sector is undergoing a profound transformation driven by the rapid rise in healthcare...

A NLP analysis of digital demand for healthcare jobs in China.

The rapid growth of the healthcare industry in China has led to a significant talent gap, particular...

The QDπ dataset, training data for drug-like molecules and biopolymer fragments and their interactions.

The development of universal machine learning potentials (MLP) for small organic and drug-like molec...

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