Practice Management

Staffing & Scheduling

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

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OCTOPUS: operation control system for task optimization and job parallelization via a user-optimal scheduler.

The material acceleration platform, empowered by robotics and artificial intelligence, is a transfor...

Artificial intelligence in physical education: comprehensive review and future teacher training strategies.

Artificial intelligence (AI) technology is deeply changing our lives and provides impetus for improv...

Advanced Low-Cost Technology for Assessing Metal Accumulation in the Body of a Metropolitan Resident Based on a Neural Network Model.

This study is devoted to creating a neural network technology for assessing metal accumulation in th...

Determining the effect levels of augmented decent work criteria in sustainable economic development with the fuzzy DEMATEL method.

Creating decent work is among the priority issues for sustainable employment and development. This s...

Task-oriented EEG denoising generative adversarial network for enhancing SSVEP-BCI performance.

The quality of electroencephalogram (EEG) signals directly impacts the performance of brain-computer...

Detection of mussels contaminated with cadmium by near-infrared reflectance spectroscopy based on RELS-TSVM.

Eating mussels contaminated with cadmium (Cd) can seriously harm health. In this study, a non-destru...

Balanced Training Sets Improve Deep Learning-Based Prediction of CRISPR sgRNA Activity.

CRISPR-Cas systems have transformed the field of synthetic biology by providing a versatile method f...

Performance of chatbots in queries concerning fundamental concepts in photochemistry.

The advent of chatbots raises the possibility of a paradigm shift across society including the most ...

Digital Psychiatry: Opportunities, Challenges, and Future Directions.

Recently, the field of psychiatry has experienced a transformative shift with the integration of dig...

A deep learning algorithm that aids visualization of femoral neck fractures and improves physician training.

PURPOSE: Missed fractures are the most common radiologic error in clinical practice, and erroneous c...

Developing healthcare language model embedding spaces.

Pre-trained Large Language Models (LLMs) have revolutionised Natural Language Processing (NLP) tasks...

Effective deep-learning brain MRI super resolution using simulated training data.

BACKGROUND: In the field of medical imaging, high-resolution (HR) magnetic resonance imaging (MRI) i...

Improving Pelvic Floor Muscle Training with AI: A Novel Quality Assessment System for Pelvic Floor Dysfunction.

The first line of treatment for urinary incontinence is pelvic floor muscle (PFM) training, aimed at...

Utilization of Machine Learning Models to More Accurately Predict Case Duration in Primary Total Joint Arthroplasty.

BACKGROUND: Accurate operative scheduling is essential for the appropriation of operating room esour...

Development of deep learning software to improve HPLC and GC predictions using a new crown-ether based mesogenic stationary phase and beyond.

The application of AI to analytical and separative sciences is a recent challenge that offers new pe...

Effects of interval treadmill training on spatiotemporal parameters in children with cerebral palsy: A machine learning approach.

Quantifying individualized rehabilitation responses and optimizing therapy for each person is challe...

LTMSegnet: Lightweight multi-scale medical image segmentation combining Transformer and MLP.

Medical image segmentation is currently of a priori guiding significance in medical research and cli...

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