Critical Care

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

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Identifying multi-functional bioactive peptide functions using multi-label deep learning.

The bioactive peptide has wide functions, such as lowering blood glucose levels and reducing inflamm...

circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.

Circular RNAs (circRNAs) generally bind to RNA-binding proteins (RBPs) to play an important role in ...

Entity recognition of Chinese medical text based on multi-head self-attention combined with BILSTM-CRF.

Named entities are the main carriers of relevant medical knowledge in Electronic Medical Records (EM...

Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry Signal.

Automated analysis of the blood oxygen saturation (SpO) signal from nocturnal oximetry has shown use...

Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation.

UNLABELLED: Despite widespread advancements in and envisioned uses for artificial intelligence (AI),...

Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...

An Efficient Method for Coronavirus Detection Through X-rays Using Deep Neural Network.

BACKGROUND: Coronavirus (COVID-19) is a group of infectious diseases caused by related viruses calle...

[Predicting prolonged length of intensive care unit stay machine learning].

OBJECTIVE: To construct length of intensive care unit (ICU) stay (LOS-ICU) prediction models for ICU...

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...

Vitamin D and COVID-19 - Let's Explore the Relationship!

Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...

Advances in artificial intelligence and deep learning systems in ICU-related acute kidney injury.

PURPOSE OF REVIEW: Acute kidney injury (AKI) affects nearly 60% of all patients admitted to ICUs. La...

PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture.

The prediction of peptide secondary structures is fundamentally important to reveal the functional m...

Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.

The COVID-19 outbreak has caused the mortality worldwide and the use of swab sampling is a common wa...

An Interpretable Intensive Care Unit Mortality Risk Calculator.

Mortality risk is a major concern to patients who have just been discharged from the intensive care ...

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Neuropsychiatric disorders such as schizophrenia are very heterogeneous in nature and typically diag...

MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation.

Automatic breast ultrasound image (BUS) segmentation is still a challenging task due to poor image q...

EMS-Net: Enhanced Multi-Scale Network for Polyp Segmentation.

In recent years, polyp segmentation plays an important role in the diagnosis and treatment of colore...

Multi-Scale Aggregated-Dilation Network for ex-vivo Lung Cancer Detection with Fluorescence Lifetime Imaging Endomicroscopy.

Multi-scale architectures at a granular level are characterised by separating input features into gr...

Surgical instrument segmentation based on multi-scale and multi-level feature network.

Surgical instrument segmentation is critical for the field of computer-aided surgery system. Most of...

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