Practice Management

Staffing & Scheduling

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

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Showing 2038-2058 of 6,170 articles
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness.

A small dataset commonly affects generalization, robustness, and overall performance of deep neural ...

Robot-Assisted Simple Prostatectomy Endoscopic Enucleation of the Prostate: A Systematic Review and Meta-Analysis of Comparative Trials.

Robot-assisted simple prostatectomy (RASP) and endoscopic enucleation of the prostate (EEP) are two...

Is robot-assisted gait training intensity a determinant of functional recovery early after stroke? A pragmatic observational study of clinical care.

Gait rehabilitation is a critical factor in functional recovery after a stroke. The aim of this prag...

Parallel Operators for High Performance Data Science and Data Engineering.

Data-intensive applications are becoming commonplace in all science disciplines. They are comprised ...

Optimal Architecture of Floating-Point Arithmetic for Neural Network Training Processors.

The convergence of artificial intelligence (AI) is one of the critical technologies in the recent fo...

SHIFTing artificial intelligence to be responsible in healthcare: A systematic review.

A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare have e...

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

Large-scale labeled training datasets have enabled deep neural networks to excel across a wide range...

Pre-training Model Based on Parallel Cross-Modality Fusion Layer.

Visual Question Answering (VQA) is a learning task that combines computer vision with natural langua...

Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study.

BACKGROUND: Artificial intelligence (AI) has taken hold in public health because more and more peopl...

Beam Damage Assessment Using Natural Frequency Shift and Machine Learning.

Damage detection based on modal parameter changes has become popular in the last few decades. Nowada...

First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning.

Video surveillance systems process high volumes of image data. To enable long-term retention of reco...

Soft hybrid intrinsically motile robot for wireless small bowel enteroscopy.

BACKGROUND: Difficulties in establishing diagnosis of small bowel (SB) disorders, prevented their ef...

A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet.

PURPOSE: To improve the performance of less experienced clinicians in the diagnosis of benign and ma...

Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.

INTRODUCTION: Stroke is one of the top 10 causes of death worldwide, and more than half of stroke pa...

Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial.

BACKGROUND: Robot-assisted rehabilitation for patients with stroke is promising. However, it is uncl...

Motor Ability Evaluation of the Upper Extremity with Point-To-Point Training Movement Based on End-Effector Robot-Assisted Training System.

Assessment is critical during the procedure of stroke rehabilitation. However, traditional assessmen...

Construction of computer model for enterprise green innovation by PSO-BPNN algorithm and its impact on economic performance.

The present work aims to analyze the elements that affect corporate green technology innovation and ...

Design and interactive performance of human resource management system based on artificial intelligence.

The purpose is to strengthen Human Resources Management (HRM) through information management using A...

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