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Prevention of medical errors

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

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Showing 883-903 of 5,107 articles
Research on Data Security Communication Scheme of Heterogeneous Swarm Robotics System in Emergency Scenarios.

In emergency scenarios where the on-site information is completely lacking or the original environme...

Aug 2022 36015843
Distributed contrastive learning for medical image segmentation.

Supervised deep learning needs a large amount of labeled data to achieve high performance. However, ...

Aug 2022 35994968
Patient communication in radiology: Moving up the agenda.

Optimised communication between patients and the imaging team is an essential component of providing...

Aug 2022 36038410
Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.

PURPOSE: This paper proposes a CT images and MRI segmentation technology of cardiac aorta based on X...

Aug 2022 36029551
Reducing Detrimental Communication Failure Impacts in Microgrids by Using Deep Learning Techniques.

A Microgrid (MG), like any other smart and interoperable power system, requires device-to-device (D2...

Aug 2022 36015769
Demod-CNN: A Robust Deep Learning Approach for Intelligent Reflecting Surface-Assisted Multiuser MIMO Communication.

The intelligent reflecting surface (IRS) is a novel and innovative communication technology that aim...

Aug 2022 36015732
Double-Balanced Loss for Imbalanced Colorectal Lesion Classification.

Colorectal cancer has a high incidence rate in all countries around the world, and the survival rate...

Aug 2022 35979050
Analysis of Chinese Machine Translation Training Based on Deep Learning Technology.

With the advent of the information age, people can establish good communication through Internet tec...

Aug 2022 35958793
Packaging Design Based on Deep Learning and Image Enhancement.

Packaging design is an important part of product design. How to improve the efficiency of packaging ...

Aug 2022 35965777
GraphSite: Ligand Binding Site Classification with Deep Graph Learning.

The binding of small organic molecules to protein targets is fundamental to a wide array of cellular...

Jul 2022 36008947
Underwater robot coordination using a bio-inspired electrocommunication system.

Due to the challenging communication and control systems, few underwater multi-robot coordination sy...

Jul 2022 35767978
Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review.

An intelligent reflecting surface (IRS) is a programmable device that can be used to control electro...

Jul 2022 35891085
Quasisynchronization of Memristive Neural Networks With Communication Delays via Event-Triggered Impulsive Control.

This article considers the quasisynchronization of memristive neural networks (MNNs) with communicat...

Jul 2022 33296323
In situ bidirectional human-robot value alignment.

A prerequisite for social coordination is bidirectional communication between teammates, each playin...

Jul 2022 35857532
SNR Prediction with ANN for UAV Applications in IoT Networks Based on Measurements.

The 5G deployment brings forth the usage of Unmanned Aerial Vehicles (UAV) to assist wireless networ...

Jul 2022 35890914
Improvement of Speech Recognition Technology in Piano Music Scene Based on Deep Learning of Internet of Things.

The main goal of speech recognition technology is to use computers to convert human analog speech si...

Jul 2022 35875750
Building Process-Oriented Data Science Solutions for Real-World Healthcare.

The COVID-19 pandemic has highlighted some of the opportunities, problems and barriers facing the ap...

Jul 2022 35886279
Cognitive Heterogeneous Wireless Network and Artificial Intelligence-Based Supply Chain Efficiency Optimization Application.

Cognitive radio can specifically perceive the surrounding environment, can understand and learn the ...

Jul 2022 35845903
Integrating Deep Learning-Based IoT and Fog Computing with Software-Defined Networking for Detecting Weapons in Video Surveillance Systems.

Due to the widespread proliferation of multimedia traffic resulting from Internet of Things (IoT) ap...

Jul 2022 35890755
CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron.

Accurate segmentation of lesions in medical images is of great significance for clinical diagnosis a...

Jun 2022 35780603
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