Intensivists

Multi-class retinal fluid joint segmentation based on cascaded convolutional neural networks.

. Retinal fluid mainly includes intra-retinal fluid (IRF), sub-retinal fluid (SRF) and pigment epith...

Feature Refine Network for Salient Object Detection.

Different feature learning strategies have enhanced performance in recent deep neural network-based ...

Intelligent and novel multi-type cancer prediction model using optimized ensemble learning.

Cancer is known to be highly severe disease and gets incurable even when the treatment has started a...

Multi-fidelity surrogate modeling through hybrid machine learning for biomechanical and finite element analysis of soft tissues.

Biomechanical simulation enables medical researchers to study complex mechano-biological conditions,...

A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study.

OBJECTIVE: Tissue slides from Oral cavity squamous cell carcinoma (OC-SCC), particularly the epithel...

Tell me something interesting: Clinical utility of machine learning prediction models in the ICU.

In recent years, extensive resources are dedicated to the development of machine learning (ML) based...

Evaluation of the models generated from clinical features and deep learning-based segmentations: Can thoracic CT on admission help us to predict hospitalized COVID-19 patients who will require intensive care?

BACKGROUND: The aim of the study was to predict the probability of intensive care unit (ICU) care fo...

Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT.

The main objective of this work is to develop and evaluate an artificial intelligence system based o...

Multi-Level Functional Connectivity Fusion Classification Framework for Brain Disease Diagnosis.

Brain disease diagnosis is a new hotspot in the cross research of artificial intelligence and neuros...

A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images.

A clinically comparable Convolutional Neural Network framework-based technique for performing automa...

Nanostructured block copolymer muscles.

High-performance actuating materials are necessary for advances in robotics, prosthetics and smart c...

Multi-Swarm Algorithm for Extreme Learning Machine Optimization.

There are many machine learning approaches available and commonly used today, however, the extreme l...

Correlation-Based Anomaly Detection Method for Multi-sensor System.

In industry, sensor-based monitoring of equipment or environment has become a necessity. Instead of ...

Risk assessment of ICU patients through deep learning technique: A big data approach.

BACKGROUND: Intensive Care Unit (ICU) patients are exposed to various medications, especially during...

Integrated Learning Model-Based Assessment of Enteral Nutrition Support in Neurosurgical Intensive Care Patients.

To observe the clinical efficacy of early enteral nutrition application in critically ill neurosurgi...

Multi-task convolutional neural networks for predicting in vitro clearance endpoints from molecular images.

Optimization of compound metabolic stability is a highly topical issue in pharmaceutical research. A...

Development of a deep learning model that predicts Bi-level positive airway pressure failure.

Delaying intubation for patients failing Bi-Level Positive Airway Pressure (BIPAP) may be associated...

Construction and Application of Text Entity Relation Joint Extraction Model Based on Multi-Head Attention Neural Network.

Entity relationship extraction is one of the key areas of information extraction and is an important...

Confusion regarding the use of Natural Language Processing in ICU delirium assessment. Author's reply.

Birdsong classification based on ensemble multi-scale convolutional neural network.

With the intensification of ecosystem damage, birds have become the symbolic species of the ecosyste...

Research on Intelligent Scheduling Scheme of Aerobics Competition for Multi-Intelligent Decision-Making.

Multi-intelligent decision-making has a good development at present. Based on a series of technologi...