Practice Management

Staffing & Scheduling

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

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Showing 1198-1218 of 6,157 articles
Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries.

Customer churn prediction (CCP) implies the deployment of data analytics and machine learning (ML) t...

Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects.

Deep learning has become a powerful tool for solving inverse problems in electromagnetic medical ima...

All aboard the ChatGPT steamroller: Top 10 ways to make artificial intelligence work for healthcare professionals.

Chat Generative Pre-trained Transformer (ChatGPT), the flagship generative artificial intelligence (...

How do nurses work in chronic management in the age of artificial intelligence? development and future prospects.

AI is undeniably revolutionizing medical research and patient care across diverse fields. Chronic di...

ChatGPT and Clinical Training: Perception, Concerns, and Practice of Pharm-D Students.

BACKGROUND: The emergence of Chat-Generative Pre-trained Transformer (ChatGPT) by OpenAI has revolut...

Training multi-source domain adaptation network by mutual information estimation and minimization.

We address the problem of Multi-Source Domain Adaptation (MSDA), which trains a neural network using...

Performance analysis of conventional and AI-based variant callers using short and long reads.

BACKGROUND: The accurate detection of variants is essential for genomics-based studies. Currently, t...

Human motor augmentation with an extra robotic arm without functional interference.

Extra robotic arms (XRAs) are gaining interest in neuroscience and robotics, offering potential tool...

AI approach to biventricular function assessment in cine-MRI: an ultra-small training dataset and multivendor study.

. It was a great challenge to train an excellent and generalized model on an ultra-small data set co...

A single session of strength training changed plasma levels of resistin, but not leptin in overweight and obese men.

Obesity has a complex multifactorial etiology and is characterized by excessive accumulation of adip...

Comparison of Artificial Intelligence to Resident Performance on Upper-Extremity Orthopaedic In-Training Examination Questions.

PURPOSE: Currently, there is a paucity of prior investigations and studies examining applications fo...

ChatGPT Performs at the Level of a Third-Year Orthopaedic Surgery Resident on the Orthopaedic In-Training Examination.

INTRODUCTION: Publicly available AI language models such as ChatGPT have demonstrated utility in tex...

Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review.

To evaluate the performance accuracy and workload savings of artificial intelligence (AI)-based auto...

Fixing the problems of deep neural networks will require better training data and learning algorithms.

Bowers et al. argue that deep neural networks (DNNs) are poor models of biological vision because th...

A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction.

Computed tomography (CT) is used in a wide range of medical imaging diagnoses. However, the reconstr...

Stress Monitoring in Free-Living Environments.

Stress monitoring is an important area of research with significant implications for individuals' ph...

Optimization of operational parameters using RSM, ANN, and SVM in membrane integrated with rotating biological contactor.

Membrane fouling is a critical bottleneck to the widespread adoption of membrane separation processe...

Revolutionizing clinical trials: the role of AI in accelerating medical breakthroughs.

Clinical trials are the essential assessment for safe, reliable, and effective drug development. Dat...

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