Critical Care

Machine learning for multi-parametric breast MRI: radiomics-based approaches for lesion classification.

In the artificial intelligence era, machine learning (ML) techniques have gained more and more impor...

Artificial intelligence in acute respiratory distress syndrome: A systematic review.

BACKGROUND AND OBJECTIVE: Acute respiratory distress syndrome (ARDS) is a life-threatening pulmonary...

Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN).

Starting from the concept of the Cloud Radio Access Network (C-RAN), continuing with the virtual Rad...

Protocol to predict mechanical properties of multi-element ceramics using machine learning.

Identifying and designing high-performance multi-element ceramics based on trial-and-error approache...

A Novel Efficient Convolutional Neural Algorithm for Multi-Category Aliasing Hardware Recognition.

When performing robotic automatic sorting and assembly operations of multi-category hardware, there ...

Classification of multi-lead ECG with deep residual convolutional neural networks.

. Automatic electrocardiogram (ECG) interpretation based on deep learning methods is attracting incr...

Multi-mask self-supervised learning for physics-guided neural networks in highly accelerated magnetic resonance imaging.

Self-supervised learning has shown great promise because of its ability to train deep learning (DL) ...

CORR Insights®: Machine-learning Models Predict 30-day Mortality, Cardiovascular Complications, and Respiratory Complications After Aseptic Revision Total Joint Arthroplasty.

Automated detection of enteric tubes misplaced in the respiratory tract on chest radiographs using deep learning with two centre validation.

AIM: To develop and test a model based on a convolutional neural network that can identify enteric t...

A multi-birth metric learning framework based on binary constraints.

Multi-metric learning plays a significant role in improving the generalization of algorithms related...

QMEDNet: A quaternion-based multi-order differential encoder-decoder model for 3D human motion prediction.

In order to deal with the sequence information in the task of 3D human motion prediction effectively...

External validation of a machine learning model to predict hemodynamic instability in intensive care unit.

BACKGROUND: Early prediction model of hemodynamic instability has the potential to improve the criti...

Deep Learning-Based Non-Intrusive Commercial Load Monitoring.

Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only com...

Neural Network Based IRSs-UEs Association and IRSs Optimal Placement in Multi IRSs Aided Wireless System.

Implementing intelligent reflecting surfaces (IRSs), in high frequency based beyond 5G networks, has...

Artificial intelligence (AI) versus expert: A comparison of left ventricular outflow tract velocity time integral (LVOT-VTI) assessment between ICU doctors and an AI tool.

PURPOSE: The application of point of care ultrasound (PoCUS) in medical education is a relatively ne...

The interactive fuzzy linguistic term set and its application in multi-attribute decision making.

In multi-attribute decision making problems, some decision information interact with each other. The...

Interval-valued intuitionistic fuzzy multi-attribute group decision-making method considering risk preference of decision-makers and its application.

An improved interval-valued intuitionistic fuzzy multi-attribute group decision-making method consid...

Predicting RNA solvent accessibility from multi-scale context feature via multi-shot neural network.

Knowledge of RNA solvent accessibility has recently become attractive due to the increasing awarenes...

Short-Term Drift Prediction of Multi-Functional Buoys in Inland Rivers Based on Deep Learning.

The multi-functional buoy is an important facility for assisting the navigation of inland waterway s...

Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data.

Global warming has seriously affected the local climate characteristics of cities, resulting in the ...

Ftl-CoV19: A Transfer Learning Approach to Detect COVID-19.

COVID-19 is an infectious and contagious disease caused by the new coronavirus. The total number of ...