Practice Management

Staffing & Scheduling

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

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Showing 1177-1197 of 6,157 articles
Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning.

Pathology diagnosis based on EEG signals and decoding brain activity holds immense importance in und...

Ethical Dilemmas in Using AI for Academic Writing and an Example Framework for Peer Review in Nephrology Academia: A Narrative Review.

The emergence of artificial intelligence (AI) has greatly propelled progress across various sectors ...

Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability.

We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modula...

Understanding the Complexities of Cast Post Retention: A Comprehensive Review of Influential Factors.

This comprehensive review delves into the intricate landscape of cast post retention in restorative ...

Gynecologic Surgical Subspecialty Training Decreases Surgical Complications in Benign Minimally Invasive Hysterectomy.

STUDY OBJECTIVE: To evaluate the impact of gynecologic subspecialty training on surgical outcomes in...

Deep Learning Prediction Boosts Phosphoproteomics-Based Discoveries Through Improved Phosphopeptide Identification.

Shotgun phosphoproteomics enables high-throughput analysis of phosphopeptides in biological samples....

Machine learning for layer-by-layer nanofiltration membrane performance prediction and polymer candidate exploration.

In this study, machine learning-based models were established for layer-by-layer (LBL) nanofiltratio...

Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications.

Feature selection is becoming a relevant problem within the field of machine learning. The feature s...

AI-Enabled Medical Education: Threads of Change, Promising Futures, and Risky Realities Across Four Potential Future Worlds.

BACKGROUND: The rapid trajectory of artificial intelligence (AI) development and advancement is quic...

Unlocking Early Cancer Detection: Exploring Biomarkers, Circulating DNA, and Innovative Technological Approaches.

Research and development improvements in early cancer diagnosis have had a significant positive impa...

AI-powered real-time annotations during urologic surgery: The future of training and quality metrics.

INTRODUCTION AND OBJECTIVE: Real-time artificial intelligence (AI) annotation of the surgical field ...

Evaluation of different feedback designs for target guidance in human controlled robotic cranes: A comparison between high and low performance groups.

Labour shortages and costly operator training are driving the need for digital on-board robotic cran...

High-Performance Hydrogel Sensors Enabled Multimodal and Accurate Human-Machine Interaction System for Active Rehabilitation.

Human-machine interaction (HMI) technology shows an important application prospect in rehabilitation...

Resistive versus active assisted robotic training for the upper limb after a stroke: A randomized controlled study.

BACKGROUND: Selection of a suitable training modality according to the status of upper limb function...

Machine Learning Approaches to Predict Asthma Exacerbations: A Narrative Review.

The implementation of artificial intelligence (AI) and machine learning (ML) techniques in healthcar...

Computer vision for plant pathology: A review with examples from cocoa agriculture.

Plant pathogens can decimate crops and render the local cultivation of a species unprofitable. In ex...

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