Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

13,612 articles
Stay Ahead - Weekly Risk Management research updates
Subscribe
Browse Categories
Showing 967-987 of 13,612 articles
Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.

BACKGROUND: Substance use disorder (SUD) exacts enormous societal costs in the United States, and it...

MR Protocol Optimization With Deep Learning: A Proof of Concept.

PURPOSE: This study was performed to demonstrate that a properly trained convolutional neural net (C...

Estimation of cerebral blood flow velocity during breath-hold challenge using artificial neural networks.

UNLABELLED: The effect of untreated Obstructive Sleep Apnoea (OSA) on cerebral haemodynamics and CA ...

Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.

BACKGROUND: Current lung cancer screening guidelines use mean diameter, volume or density of the lar...

From protocolized to person-centered chronic care in general practice: study protocol of an action-based research project (COPILOT).

AIM: To develop a proactive person-centered care approach for persons with (multiple) chronic diseas...

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol.

BACKGROUND: The screening of digital footprint for clinical purposes relies on the capacity of weara...

Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol.

BACKGROUND: Major depressive disorder (MDD) is one of the leading causes of disability; however, cur...

Combined Ensemble Docking and Machine Learning in Identification of Therapeutic Agents with Potential Inhibitory Effect on Human CES1.

The human carboxylesterase 1 (CES1), responsible for the biotransformation of many diverse therapeut...

Chemiresistive Sensor Array and Machine Learning Classification of Food.

Successful identification of complex odors by sensor arrays remains a challenging problem. Herein, w...

Artificial Intelligence Approach to Find Lead Compounds for Treating Tumors.

It has been demonstrated that MMP13 enzyme is related to most cancer cell tumors. The world's larges...

DeepHarmony: A deep learning approach to contrast harmonization across scanner changes.

Magnetic resonance imaging (MRI) is a flexible medical imaging modality that often lacks reproducibi...

Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model.

INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') whi...

A practical guide to intelligent image-activated cell sorting.

Intelligent image-activated cell sorting (iIACS) is a machine-intelligence technology that performs ...

A novel RFID multi-tag anti-collision protocol for dynamic vehicle identification.

In order to obtain the information of the vehicle tags in adverse traffic conditions, we proposed a ...

Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.

OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, gener...

On the impact of Citizen Science-derived data quality on deep learning based classification in marine images.

The evaluation of large amounts of digital image data is of growing importance for biology, includin...

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.

Wart disease (WD) is a skin illness on the human body which is caused by the human papillomavirus (H...

PSACNN: Pulse sequence adaptive fast whole brain segmentation.

With the advent of convolutional neural networks (CNN), supervised learning methods are increasingly...

Browse Categories