Practice Management

Staffing & Scheduling

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

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An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.

Network initialization is the first and critical step for training neural networks. In this paper, w...

Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison.

BACKGROUND: Advanced prostheses can restore function and improve quality of life for individuals wit...

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis.

The spread of Covid-19 has resulted in worldwide health concerns. Social media is increasingly used ...

Exploring the Relationship Between EMG Feature Space Characteristics and Control Performance in Machine Learning Myoelectric Control.

In myoelectric machine learning (ML) based control, it has been demonstrated that control performanc...

Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.

Convolutional neural networks have achieved prominent success on a variety of medical imaging tasks ...

How Digital Technologies Modify The Work Characteristics: A Preliminary Study.

New technologies with unprecedented agentic capabilities (i.e., action selection, protocol developme...

Training deep-learning segmentation models from severely limited data.

PURPOSE: To enable generation of high-quality deep learning segmentation models from severely limite...

An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning.

Deep learning for digital pathology is hindered by the extremely high spatial resolution of whole-sl...

Surgical training model and safe implementation of robotic pancreatoduodenectomy in Japan: a technical note.

BACKGROUND: Growing evidence for the advantages of robotic pancreatoduodenectomy (RPD) has been demo...

Improving blood cells classification in peripheral blood smears using enhanced incremental training.

Peripheral Blood Smear (PBS) analysis is a vital routine test carried out by medical specialists to ...

An Experimental Review on Deep Learning Architectures for Time Series Forecasting.

In recent years, deep learning techniques have outperformed traditional models in many machine learn...

Efficacy of Smart Speaker-Based Metamemory Training in Older Adults: Case-Control Cohort Study.

BACKGROUND: Metamemory training (MMT) is a useful training strategy for improving cognitive function...

Training opportunities of artificial intelligence (AI) in radiology: a systematic review.

OBJECTIVES: The aim is to offer an overview of the existing training programs and critically examine...

Automation of training and testing motor and related tasks in pre-clinical behavioural and rehabilitative neuroscience.

Testing and training animals in motor and related tasks is a cornerstone of pre-clinical behavioural...

User training for machine learning controlled upper limb prostheses: a serious game approach.

BACKGROUND: Upper limb prosthetics with multiple degrees of freedom (DoFs) are still mostly operated...

Proposed training pathway with initial experience to set up robotic hepatobiliary and pancreatic service.

Although robot-assisted hepatobiliary and pancreatic (HPB) surgery has gained momentum over the last...

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