Practice Management

Staffing & Scheduling

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

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[Is the application of digital technologies the game changer for surgical training of the future? A Germany-wide analysis].

BACKGROUND: The use of digital technologies is becoming increasingly important in medicine and is ha...

Fidelity to territory and mate and the causes and consequences of breeding dispersal in American goshawk (Astur atricapillus).

Using mark-resight data, we investigated fidelity to territory and mate as well as breeding dispersa...

Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data.

Synthetic and naturally occurring particles, such as nanoparticles (NPs) and exosomes; a type of ext...

High-Performance Ferroelectric Field-Effect Transistors Based on Ultrathin Indium Oxide for Neuromorphic Computing.

The emergence of artificial intelligence has revealed the limitations of traditional von Neumann com...

Training humans for synthetic face image detection.

Fake identities created using highly realistic synthetic face images have become increasingly preval...

Constructing Built-In Electric Field in Hierarchical-Flower Heterostructure for High-Performance Serum Metabolic Assay.

Laser desorption ionization mass spectrometry (LDI-MS) is a critical platform for high-throughput no...

Machine-learning-assisted universal protein activation in living mice.

A universal strategy to precisely control protein activation in living animals is crucial for gain-o...

Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training.

This study explores nursing students' stress responses while they are being trained in a mixed reali...

Enhancing Sealing Performance Predictions: A Comprehensive Study of XGBoost and Polynomial Regression Models with Advanced Optimization Techniques.

Motors, as the core carriers of pollution-free power, realize efficient electric energy conversion i...

The Creation of Artificial Data for Training a Neural Network Using the Example of a Conveyor Production Line for Flooring.

This work is dedicated to the development of a system for generating artificial data for training ne...

An Australasian survey on the use of ChatGPT and other large language models in medical physics.

This study surveyed medical physicists in Australia and New Zealand on their use of large language m...

Disturbance-Aware On-Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator.

On-chip training in analog in-memory computing (AIMC) holds great promise for reducing data latency ...

Tracking Methods in Sports: a Review of Advances, Quality, and Challenges in Performance Data.

Tracking systems in sports aim to record the athlete's position as a function of time. From these da...

Disciplinary barriers need communication: a behavioral and fNIRS study under group decision-making paradigm shift based on cabin design.

In the field of interdisciplinary engineering design, the terminology used by decision-makers from d...

Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis.

Understanding the interaction between T Cell Receptors (TCRs) and peptide-bound Major Histocompatibi...

Persistence of Backdoor-Based Watermarks for Neural Networks: A Comprehensive Evaluation.

Deep neural networks (DNNs) have gained considerable traction in recent years due to the unparallele...

A review on adverse drug reaction related to medication in health sector: an account of what we have discovered and implemented-pharmacovigilance.

Despite the extensive research on medication-related adverse events (MRAEs) in healthcare, the asses...

Artificial Intelligence in Dermatology: A Comprehensive Review of Approved Applications, Clinical Implementation, and Future Directions.

This comprehensive review examines artificial intelligence (AI) applications in dermatology, approve...

Investigation of novel carboxymethyl chitosan-based bioinks for 3D bioprinting of neural tissues.

The formulation of bioinks is critical for successful 3D bioprinting. It influences printability, st...

Early signs of strong El Niño-Southern Oscillation episodes.

The El Niño-Southern Oscillation (ENSO) is the Earth's most prominent source of year-to-year climate...

Effects of Employee-Artificial Intelligence (AI) Collaboration on Counterproductive Work Behaviors (CWBs): Leader Emotional Support as a Moderator.

The accelerated advancement of artificial intelligence (AI) has positioned it as a novel colleague. ...

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