Prevention of medical errors

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends.

Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wirele...

Deep learning of renal scans in children with antenatal hydronephrosis.

INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prenatal ultrasound, found in up to 4.5% of all pregnancies. Children with ANH are surveilled with repeated renal ultrasound and when there is high suspicion for a ureteropelvic junction obstruction on renal ultrasound, a mercaptuacetyltriglycerine (MAG3) Lasix renal scan is performed to evaluate for obs...

Wireless Link Selection Methods for Maritime Communication Access Networks-A Deep Learning Approach.

In recent years, we have been witnessing a growing interest in the subject of communication at sea. One of the promising solutions to enable widesprea...

A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning.

The novel coronavirus pneumonia that began to spread in 2019 is still raging and has placed a burden on medical systems and governments in various cou...

An Anomaly Intrusion Detection for High-Density Internet of Things Wireless Communication Network Based Deep Learning Algorithms.

Telecommunication networks are growing exponentially due to their significant role in civilization and industry. As a result of this very significant ...

Proposal of a Real-Time Test Platform for Tactile Internet Systems.

This work aimed to develop a real-time test platform for systems associated with the tactile internet area. The proposal comprises a master device, a ...

Handover Optimization Algorithm Based on T2RFS-FNN.

As a key technology for highly reliable communication in the fifth generation mobile communication for railway (5G-R) high-speed railway wireless comm...

A Transparent Teleoperated Robotic Surgical System with Predictive Haptic Feedback and Force Modelling.

In recent years, robotic minimally invasive surgery has transformed many types of surgical procedures and improved their outcomes. Implementing effect...

Scenario-Based Programming of Voice-Controlled Medical Robotic Systems.

An important issue in medical robotics is communication between physicians and robots. Speech-based communication is of particular advantage in robot-...

An Integrated Artificial Intelligence of Things Environment for River Flood Prevention.

River floods are listed among the natural disasters that can directly influence different aspects of life, ranging from human lives, to economy, infra...

Learned Gradient Compression for Distributed Deep Learning.

Training deep neural networks on large datasets containing high-dimensional data requires a large amount of computation. A solution to this problem is...

Determination of Wheat Heading Stage Using Convolutional Neural Networks on Multispectral UAV Imaging Data.

The heading and flowering stages are crucial for wheat growth and should be used for fusarium head blight (FHB) and other plant prevention operations....

Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients.

In recent years, machine learning methods have been rapidly adopted in the medical domain. However, current state-of-the-art medical mining methods us...

COMMUTE: Communication-efficient transfer learning for multi-site risk prediction.

OBJECTIVES: We propose a communication-efficient transfer learning approach (COMMUTE) that effectively incorporates multi-site healthcare data for tra...

Artificial Intelligence in Health: Enhancing a Return to Patient-Centered Communication.

The medical environment is on the verge of a dramatic transformation as artificial intelligence (AI) evolves. With the inevitable shift toward AI in h...

LiDAR and Deep Learning-Based Standing Tree Detection for Firebreaks Applications.

Forest fire prevention is very important for the protection of the ecological environment, which requires effective prevention and timely suppression....

Detection of mandibular fractures on panoramic radiographs using deep learning.

Mandibular fractures are among the most frequent facial traumas in oral and maxillofacial surgery, accounting for 57% of cases. An accurate diagnosis ...

Telepresence Robot System for People with Speech or Mobility Disabilities.

Due to an increase in the number of disabled people around the world, inclusive solutions are becoming a priority. People with disabilities may encoun...

A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography.

BACKGROUND: Computed tomographic pulmonary angiography (CTPA) is the diagnostic standard for confirming pulmonary embolism (PE). Since PE is a life-th...

Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning.

BACKGROUND: Cardiac implantable electronic device (CIED) surgical site infections (SSIs) have been outpacing the increases in implantation of these de...