State Required CME

Prevention of medical errors

Latest AI and machine learning research in prevention of medical errors for healthcare professionals.

5,424 articles
Stay Ahead - Weekly Prevention of medical errors research updates
Subscribe
Browse Categories
Showing 1345-1365 of 5,424 articles
Associated factors of white matter hyperintensity volume: a machine-learning approach.

To identify the most important parameters associated with cerebral white matter hyperintensities (WM...

(1)
Jan 2021 33504924
Gut microbiome-based supervised machine learning for clinical diagnosis of inflammatory bowel diseases.

Despite the availability of various diagnostic tests for inflammatory bowel diseases (IBD), misdiagn...

Jan 2021 33439104
DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors.

The most frequent extracranial solid tumors of childhood, named peripheral neuroblastic tumors (pNTs...

Dec 2020 32991280
Development of a Self-Harm Monitoring System for Victoria.

The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and i...

Dec 2020 33333970
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device.

Glaucoma, the group of eye diseases is characterized by increased intraocular pressure, optic neurop...

Nov 2020 33307283
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.

Incidence and mortality rates of endometrial cancer are increasing, leading to increased interest in...

Nov 2020 33733200
A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases.

Respiratory diseases are currently considered to be amongst the most frequent causes of death and di...

(1)
Nov 2020 33233826
A Secured and Intelligent Communication Scheme for IIoT-enabled Pervasive Edge Computing.

Industrial Internet of Things (IIoT) ensures reliable and efficient data exchanges among the industr...

Nov 2020 33994885
Comparing machine learning with case-control models to identify confirmed dengue cases.

In recent decades, the global incidence of dengue has increased. Affected countries have responded w...

Nov 2020 33170848
Evolution-Communication Spiking Neural P Systems.

Spiking neural P systems (SNP systems) are a class of distributed and parallel computation models, w...

Nov 2020 33161789
The opportunities and challenges of machine learning in the acute care setting for precision prevention of posttraumatic stress sequelae.

Personalized medicine is among the most exciting innovations in recent clinical research, offering t...

Nov 2020 33157093
Tree-Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood Level.

Background Stroke is a major cardiovascular disease that causes significant health and economic burd...

(5)
Nov 2020 33140687
Using Machine Learning to Predict Suicide Attempts in Military Personnel.

Identifying predictors of suicide attempts is critical in intervention and prevention efforts, yet f...

Oct 2020 33113452
Artificial Intelligence, Big Data, and mHealth: The Frontiers of the Prevention of Violence Against Children.

Violence against children is a global public health threat of considerable concern. At least half of...

Oct 2020 33733202
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features.

The precise and rapid diagnosis of coronavirus (COVID-19) at the very primary stage helps doctors to...

Oct 2020 33816957
Methodology minute: a machine learning primer for infection prevention and control.

The use of machine-learning and predictive modeling in infection prevention and control activities i...

Oct 2020 33011334
Genome-wide association study-based deep learning for survival prediction.

Informative and accurate survival prediction with individualized dynamic risk profiles over time is ...

(2)
Sep 2020 32974946
Primary Prevention Trial Designs Using Coronary Imaging: A National Heart, Lung, and Blood Institute Workshop.

Coronary artery calcium (CAC) is considered a useful test for enhancing risk assessment in the prima...

(1)
Sep 2020 32950442
Relating Mori's Uncanny Valley in generating conversations with artificial affective communication and natural language processing.

Human beings express affinity (Shinwa-kan in Japanese language) in communicating transactive engagem...

Aug 2020 32803785
Browse Categories