Prevention of medical errors

Plant Factory: A New Playground of Industrial Communication and Computing.

Plant Factory is a newly emerging industry aiming at transforming crop production to an unprecedented model by leveraging industrial automation and informatics. However, today's plant factory and vertical farming industry are still in a primitive phase, and existing industrial cyber-physical systems are not optimal for a plant factory due to diverse application requirements on communication, compu...

Evading obscure communication from spam emails.

Spam is any form of annoying and unsought digital communication sent in bulk and may contain offensive content feasting viruses and cyber-attacks. The voluminous increase in spam has necessitated developing more reliable and vigorous artificial intelligence-based anti-spam filters. Besides text, an email sometimes contains multimedia content such as audio, video, and images. However, text-centric ...

Heart Rate Modeling and Prediction Using Autoregressive Models and Deep Learning.

Physiological time series are affected by many factors, making them highly nonlinear and nonstationary. As a consequence, heart rate time series are o...

Sacubitril/valsartan reduces indications for arrhythmic primary prevention in heart failure with reduced ejection fraction: insights from DISCOVER-ARNI, a multicenter Italian register.

AIMS: This sub-study deriving from a multicentre Italian register [Deformation Imaging by Strain in Chronic Heart Failure Over Sacubitril-Valsartan: A...

Implementation and Evaluation of an Artificial Intelligence Driven Simulation to Improve Resident Communication With Primary Care Providers.

Our artificial intelligence platform facilitated, evaluated, and provided real-time feedback on a standardized, simulated conversation. Learners evalu...

A Novel Energy Compensation Scheme for Quality Enhancement in Time-Delayed Teleoperation With Multi-DoF Haptic Data Reduction and Communication.

Efficient and low-delay exchange of hapticinformation plays a key role for the design of high-fidelity teleoperation systems that operate over real-wo...

Optimization: Molecular Communication Networks for Viral Disease Analysis Using Deep Leaning Autoencoder.

Developing new treatments for emerging infectious diseases in infectious and noninfectious diseases has attracted a particular attention. The emergenc...

Deep Learning Assisted Diagnosis of Musculoskeletal Tumors Based on Contrast-Enhanced Magnetic Resonance Imaging.

BACKGROUND: Misdiagnosis of malignant musculoskeletal tumors may lead to the delay of intervention, resulting in amputation or death.

Artificial intelligence and cardiology: Current status and perspective.

The development of artificial intelligence (AI) began in the mid-20th century but has been rapidly accelerating in the past decade. Reflecting the dev...

Deep multi-instance transfer learning for pneumothorax classification in chest X-ray images.

PURPOSE: Pneumothorax is a life-threatening emergency that requires immediate treatment. Frontal-view chest X-ray images are typically used for pneumo...

Research on the Path of Network Opinion Expression in AI Environment for College Students.

Network interaction has evolved into a grouping paradigm as civilization has progressed and artificial intelligence technology has advanced. This netw...

Unsupervised Learning for Automated Detection of Coronary Artery Disease Subgroups.

Background The promise of precision population health includes the ability to use robust patient data to tailor prevention and care to specific groups...

[Robot-assisted Minimally Invasive Surgery in the age of surgical data science].

With the continuous development of information technology, robotics and data science will certainly have a similar impact on invasive medicine over th...

A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data.

The purpose of this article is to perform in-depth research and analysis on the artificial intelligence coordination and optimization mechanism of col...

Deep Learning-Based Detection and Diagnosis of Subarachnoid Hemorrhage.

Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases with high morbidity and mortality. Head computed tomography (CT)...

Deep Learning-Based Diagnosis Method of Emergency Colorectal Pathology.

One of the most common malignant tumors of the digestive tract is emergency colorectal cancer. In recent years, both morbidity and mortality rates, pa...

Simulation and beyond - Principles of effective obstetric training.

Simulation training provides a safe, non-judgmental environment where members of the multi-professional team can practice both their technical and non...

An Intelligent Multimode Clustering Mechanism Using Driving Pattern Recognition in Cognitive Internet of Vehicles.

Connected autonomous vehicles can leverage communication and artificial intelligence technologies to effectively overcome the perceived limitations of...

Factors That Influence Risk Perceptions and Successful COVID-19 Vaccination Communication Campaigns With American Indians.

COVID-19 vaccinations are the primary tool to end the pandemic. However, vaccine hesitancy continues to be a barrier to herd-immunity in the United St...

Obesity Mass Monitoring in Medical Big Data Based on High-Order Simulated Annealing Neural Network Algorithm.

With the rapid development of information technology, hospital informatization has become the general trend. In this context, disease monitoring based...