State Required CME

Prevention of medical errors

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

6,312 articles
Stay Ahead - Weekly Prevention of medical errors research updates
Subscribe
Browse Categories
Showing 1441-1460 of 6,312 articles

Artificial intelligence (AI) and cancer prevention: the potential application of AI in cancer control programming needs to be explored in population laboratories such as COMPASS.

Understanding the risk factors that initiate cancer is essential for reducing the future cancer burden. Much of our current cancer control insight is from cohort studies and newer large-scale population laboratories designed to advance the science around precision oncology. Despite their promise for improving diagnosis and treatment outcomes, their current reductionist focus will likely have littl...

May 15 2019 31093860

Screening and Diagnosis of Chronic Pharyngitis Based on Deep Learning.

Chronic pharyngitis is a common disease, which has a long duration and a wide range of onset. It is easy to misdiagnose by mistaking it with other diseases, such as chronic tonsillitis, by using common diagnostic methods. In order to reduce costs and avoid misdiagnosis, the search for an affordable and rapid diagnostic method is becoming more and more important for chronic pharyngitis research. Sp...

May 14 2019 31091759
Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors.

BACKGROUND: Suicide is a great public health challenge. Two hundred million people attempt suicide in China annually. Existing suicide prevention prog...

May 8 2019 31344675
Using Artificial Intelligence to Identify Factors Associated with Autism Spectrum Disorder in Adolescents with Cerebral Palsy.

Autism spectrum disorder (ASD) is common in adolescents with cerebral palsy (CP) and there is a lack of studies applying artificial intelligence to in...

Apr 24 2019 31018221
Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication.

Radiologists are expected to expediently communicate critical and unexpected findings to referring clinicians to prevent delayed diagnosis and treatme...

Apr 5 2019 30959206
Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgement.

PURPOSE: Frontotemporal dementia (FTD) is a neurodegenerative disorder associated with a poor prognosis and a substantial reduction in quality of life...

Apr 2 2019 30952029
Modulation Classification of Underwater Communication with Deep Learning Network.

Automatic modulation recognition has successfully used various machine learning methods and achieved certain results. As a subarea of machine learning...

Apr 1 2019 31065254
[Robot-assisted transaxillary thyroid surgery; 5 years later].

Five years ago, robot-assisted transaxillary thyroidectomy (RATT) was introduced in the Netherlands. The major advantage of this technique, when compa...

Mar 14 2019 30945832
A machine learning model to classify aortic dissection patients in the early diagnosis phase.

Aortic dissection is one of the most clinical-challenging and life-threatening cardiovascular diseases associated with high morbidity and mortality. A...

Feb 25 2019 30804372
Job interview training targeting nonverbal communication using an android robot for individuals with autism spectrum disorder.

Job interviews are significant barriers for individuals with autism spectrum disorder because these individuals lack good nonverbal communication skil...

Feb 22 2019 30795694
Artificial Neural Network for in-Bed Posture Classification Using Bed-Sheet Pressure Sensors.

Pressure ulcer prevention is a vital procedure for patients undergoing long-term hospitalization. A human body lying posture (HBLP) monitoring system ...

Feb 13 2019 30762571
Reimagining Medical Education in the Age of AI.

Available medical knowledge exceeds the organizing capacity of the human mind, yet medical education remains based on information acquisition and appl...

Feb 1 2019 30794124
What Machine Learning Can Tell Us About the Role of Language Dominance in the Diagnostic Accuracy of German LITMUS Non-word and Sentence Repetition Tasks.

The present study investigates the performance of 21 monolingual and 56 bilingual children aged 5;6-9;0 on German LITMUS-sentence-repetition (SRT; Ham...

Jan 30 2019 30761060
A Recursive Approach to Quantized H State Estimation for Genetic Regulatory Networks Under Stochastic Communication Protocols.

This paper deals with the finite-horizon quantized H state estimation problem for a class of discrete time-varying genetic regulatory networks with qu...

Jan 16 2019 30668504
A novel multiple communication paths for surgical telepresence videos delivery of the maxilla area in oral and maxillofacial surgery.

PURPOSE: A surgical telepresence between two surgical sites where a local surgeon in the surgery site, who is less experienced, needs help from the ex...

Jan 16 2019 30649669
Alternative Diagnosis of Epilepsy in Children Without Epileptiform Discharges Using Deep Convolutional Neural Networks.

Numerous nonepileptic paroxysmal events, such as syncope and psychogenic nonepileptic seizures, may imitate seizures and impede diagnosis. Misdiagnosi...

Jan 8 2019 30776988
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.

Lymph node metastasis is one of the most important indicators in breast cancer diagnosis, that is traditionally observed under the microscope by patho...

Jan 7 2019 30624213
Asynchronous Multiplex Communication Channels in 2-D Neural Network With Fluctuating Characteristics.

Neurons behave like transistors, but have fluctuating characteristics. In this paper, we show that several asynchronous multiplex communication channe...

Dec 14 2018 30571647
An automated pipeline for analyzing medication event reports in clinical settings.

BACKGROUND: Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports...

Dec 7 2018 30526590
Prediction error connectivity: A new method for EEG state analysis.

Several models have been proposed to explain brain regional and interregional communication, the majority of them using methods that tap the frequency...

Dec 1 2018 30508680
Browse Categories