Practice Management

Staffing & Scheduling

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

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Showing 2248-2268 of 6,187 articles
Developing a Robotic General Surgery Training Curriculum: Identifying Key Elements Through a Delphi Process.

OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents a...

Deep Learning Based Prediction of Gas Chromatographic Retention Indices for a Wide Variety of Polar and Mid-Polar Liquid Stationary Phases.

Prediction of gas chromatographic retention indices based on compound structure is an important task...

Interpretable and explainable AI (XAI) model for spatial drought prediction.

Accurate prediction of any type of natural hazard is a challenging task. Of all the various hazards,...

Informed training set design enables efficient machine learning-assisted directed protein evolution.

Directed evolution of proteins often involves a greedy optimization in which the mutation in the hig...

Computational pharmaceutics - A new paradigm of drug delivery.

In recent decades pharmaceutics and drug delivery have become increasingly critical in the pharmaceu...

Evaluating the Work Productivity of Assembling Reinforcement through the Objects Detected by Deep Learning.

With the rapid development of deep learning, computer vision has assisted in solving a variety of pr...

Efficient, high-performance semantic segmentation using multi-scale feature extraction.

The success of deep learning in recent years has arguably been driven by the availability of large d...

Analysis of Sports Performance Prediction Model Based on GA-BP Neural Network Algorithm.

There are many factors that affect athletes' sports performance in sports competitions. The traditio...

Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results.

This study aims to determine how randomly splitting a dataset into training and test sets affects th...

Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments.

The synergy between Artificial Intelligence and the Edge Computing paradigm promises to transfer dec...

Adversarial text-to-image synthesis: A review.

With the advent of generative adversarial networks, synthesizing images from text descriptions has r...

Prediction of gait trajectories based on the Long Short Term Memory neural networks.

The forecasting of lower limb trajectories can improve the operation of assistive devices and minimi...

Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance.

We present a method to generate synthetic thorax radiographs with realistic nodules from CT scans, a...

Artificial Intelligence in PET: An Industry Perspective.

Artificial intelligence (AI) has significant potential to positively impact and advance medical imag...

Skilled reach training enhances robotic gait training to restore overground locomotion following spinal cord injury in rats.

Rehabilitative training has been shown to improve motor function following spinal cord injury (SCI)....

A deep learning approach for magnetic resonance fingerprinting: Scaling capabilities and good training practices investigated by simulations.

MR fingerprinting (MRF) is an innovative approach to quantitative MRI. A typical disadvantage of dic...

Deep-learning based monitoring of FOG layer dynamics in wastewater pumping stations.

Accumulation of fat, oil and grease (FOG) in the sumps of wastewater pumping stations is a common fa...

Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning.

BACKGROUND: Eligibility criteria are the primary strategy for screening the target participants of a...

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments.

Recent progress in deep learning has led to accurate and efficient generic object detection networks...

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