Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients.

OBJECTIVES: While chest radiograph (CXR) is the first-line imaging investigation in patients with re...

Prediction of circRNA-Disease Associations Based on the Combination of Multi-Head Graph Attention Network and Graph Convolutional Network.

Circular RNAs (circRNAs) are covalently closed single-stranded RNA molecules, which have many biolog...

Accurate contactless sleep apnea detection framework with signal processing and machine learning methods.

The detection of sleep apnea is critical for assessing sleep quality. It is also a proven biometric ...

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion.

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, M...

Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load.

Sleep is generally considered to be a state of large-scale synchrony across thalamus and neocortex; ...

Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches.

BACKGROUND: A disease severity classification system is widely used to predict the survival of patie...

Predicting In Vivo Compound Brain Penetration Using Multi-task Graph Neural Networks.

Assessing whether compounds penetrate the brain can become critical in drug discovery, either to pre...

Exploring Built-Up Indices and Machine Learning Regressions for Multi-Temporal Building Density Monitoring Based on Landsat Series.

Uncontrolled built-up area expansion and building densification could bring some detrimental problem...

Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI.

Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary imaging is a...

Micro-Expression-Based Emotion Recognition Using Waterfall Atrous Spatial Pyramid Pooling Networks.

Understanding a person's attitude or sentiment from their facial expressions has long been a straigh...

Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application.

Generally, there are large amounts of uncertain factors in the multi-attribute decision system. By u...

AMB-Wnet: Embedding attention model in multi-bridge Wnet for exploring the mechanics of disease.

In recent years, progressive application of convolutional neural networks in image processing has su...

Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN.

Indoor fires cause huge casualties and economic losses worldwide. Thus, it is critical to quickly an...

A dataset of simulated patient-physician medical interviews with a focus on respiratory cases.

Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and outbreak d...

A general locomotion control framework for multi-legged locomotors.

Serially connected robots are promising candidates for performing tasks in confined spaces such as s...

[Early mobilization in the intensive care unit-Are robot-assisted systems the future?].

BACKGROUND: Intensive care unit (ICU) acquired weakness is associated with reduced physical function...

Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images.

Lung infections caused by bacteria and viruses are infectious and require timely screening and isola...

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

Recent advances in artificial intelligence have enhanced the abilities of mobile robots in dealing w...

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...

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