Practice Management

Staffing & Scheduling

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

6,144 articles
Stay Ahead - Weekly Staffing & Scheduling research updates
Subscribe
Browse Specialties
Showing 778-798 of 6,144 articles
Artificial intelligence and forensic mental health in Africa: a narrative review.

This narrative review examines the integration of Artificial Intelligence (AI) tools into forensic p...

How can quantum computing be applied in clinical trial design and optimization?

Clinical trials are necessary for assessing the safety and efficacy of treatments. However, trial ti...

Evaluation of crop water stress index of wheat by using machine learning models.

The Crop Water Stress Index (CWSI), a pivotal indicator derived from canopy temperature, plays a cru...

Real-Time Air-Writing Recognition for Arabic Letters Using Deep Learning.

Learning to write the Arabic alphabet is crucial for Arab children's cognitive development, enhancin...

Foundation models in ophthalmology.

Foundation models represent a paradigm shift in artificial intelligence (AI), evolving from narrow m...

Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images.

BACKGROUND: Artificial intelligence (AI) in medical imaging diagnostics has huge potential, but huma...

Impact of artificial intelligence on the training of general surgeons of the future: a scoping review of the advances and challenges.

PURPOSE: To explore artificial intelligence's impact on surgical education, highlighting its advanta...

Integrating Large Language Model, EEG, and Eye-Tracking for Word-Level Neural State Classification in Reading Comprehension.

With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transf...

Interactive Surgical Training in Neuroendoscopy: Real-Time Anatomical Feature Localization Using Natural Language Expressions.

OBJECTIVE: This study addresses challenges in surgical education, particularly in neuroendoscopy, wh...

An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network.

OBJECTIVE: Attention decoding plays a vital role in daily life, where electroencephalography (EEG) h...

Efficacy of robot-assisted gait training on lower extremity function in subacute stroke patients: a systematic review and meta-analysis.

BACKGROUND: Robot-Assisted Gait Training (RAGT) is a novel technology widely employed in the field o...

Deep learning-enabled fluorescence imaging for surgical guidance: training for oral cancer depth quantification.

SIGNIFICANCE: Oral cancer surgery requires accurate margin delineation to balance complete resection...

Enhancing trainee performance in obstetric ultrasound through an artificial intelligence system: randomized controlled trial.

OBJECTIVE: Performing obstetric ultrasound scans is challenging for inexperienced operators; therefo...

Sensory Stimulation and Robot-Assisted Arm Training After Stroke: A Randomized Controlled Trial.

BACKGROUND AND PURPOSE: Functional recovery after stroke is often limited, despite various treatment...

Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network.

The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mit...

Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control.

Machine learning (ML) models often fail with data that deviates from their training distribution. Th...

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning.

BACKGROUND: Cognitive impairment and dementia pose a significant challenge to the aging population, ...

Browse Specialties