Practice Management

Staffing & Scheduling

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

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A deep learning model identifies emphasis on hard work as an important predictor of income inequality.

High levels of income inequality can persist in society only if people accept the inequality as just...

Value of robotic surgery simulation for training surgical residents and attendings: a systematic review protocol.

INTRODUCTION: Robotic surgery is a method of minimally invasive surgery performed through small inci...

Artificial Intelligence-Based Semisupervised Self-Training Algorithm in Pathological Tissue Image Segmentation.

In the field of medical image processing, due to the differences in tissues, organs, and imaging met...

Structure of cytoplasmic ring of nuclear pore complex by integrative cryo-EM and AlphaFold.

INTRODUCTION The nuclear pore complex (NPC) is the molecular conduit in the nuclear membrane of euka...

Deep learning for image-based liver analysis - A comprehensive review focusing on malignant lesions.

Deep learning-based methods, in particular, convolutional neural networks and fully convolutional ne...

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review.

Currently, information and communication technology (ICT) allows health institutions to reach disadv...

Contrastive representation learning of inorganic materials to overcome lack of training datasets.

Data representation forms a feature space where forms data distribution that is one of the key facto...

Application of New Media in Student Management from the Perspective of Deep Learning and Evaluation and Analysis of Practical Effects.

New media has become incorporated into people's lives as a result of its advent and great popularity...

Acquisition of robotic surgical skills does not require laparoscopic training: a randomized controlled trial.

BACKGROUND: Robotic surgery is a valid option for minimally invasive surgery in most surgical specia...

A Novel Interannual Rainfall Runoff Equation Derived from Ol'Dekop's Model Using Artificial Neural Networks.

In water resources management, modeling water balance factors is necessary to control dams, agricult...

Robot-assisted gait training: more randomized controlled trials are needed! Or maybe not?

I was encouraged by the recent article by Kuo et al. entitled "Prediction of robotic neurorehabilita...

Deep Learning-Based Method for Compound Identification in NMR Spectra of Mixtures.

Nuclear magnetic resonance (NMR) spectroscopy is highly unbiased and reproducible, which provides us...

Improving work detection by segmentation heuristics pre-training on factory operations video.

The measurement of work time for individual tasks by using video has made a significant contribution...

The current status of robotic colorectal surgery training programmes.

Robotic-assisted colorectal surgery (RACS) is steadily increasing in popularity with an annual growt...

Soft robotic exosuit augmented high intensity gait training on stroke survivors: a pilot study.

BACKGROUND: Stroke is a leading cause of serious gait impairments and restoring walking ability is a...

Analysis of Two-Piano Teaching Assistant Training Based on Neural Network Model Sound Sequence Recognition.

In today's society, with the gradual improve5ment of material living standards, people are also more...

The Application of Wireless Network-Based Artificial Intelligence Robots in Badminton Teaching and Training.

Artificial intelligence technology has already set its foot in various industries, including sports,...

Accelerating multi-echo chemical shift encoded water-fat MRI using model-guided deep learning.

PURPOSE: To accelerate chemical shift encoded (CSE) water-fat imaging by applying a model-guided dee...

TocoDecoy: A New Approach to Design Unbiased Datasets for Training and Benchmarking Machine-Learning Scoring Functions.

Development of accurate machine-learning-based scoring functions (MLSFs) for structure-based virtual...

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