Critical Care

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

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Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading.

Diabetic Retinopathy (DR) is a non-negligible eye disease among patients with Diabetes Mellitus, and...

Automated Classification Using End-to-End Deep Learning.

According to a study [1] by the Ministry of Health in Singapore, since 2009, cancer, ischaemic heart...

Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images.

Lung cancer is one of the four major cancers in the world. Accurate diagnosing of lung cancer in the...

Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation.

Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR...

Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

OBJECTIVES: Early prediction of undesired outcomes among newly hospitalized patients could improve p...

Snorkel MeTaL: Weak Supervision for Multi-Task Learning.

Many real-world machine learning problems are challenging to tackle for two reasons: (i) they involv...

Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients.

OBJECTIVES: Risk adjustment algorithms for ICU mortality are necessary for measuring and improving I...

Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks.

Instrument detection, pose estimation, and tracking in surgical videos are an important vision compo...

[Application of support vector machine in predicting in-hospital mortality risk of patients with acute kidney injury in ICU].

OBJECTIVE: To construct an in-hospital mortality prediction model for patients with acute kidney inj...

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critica...

A review on machine learning principles for multi-view biological data integration.

Driven by high-throughput sequencing techniques, modern genomic and clinical studies are in a strong...

Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition.

This paper explores multi-task learning (MTL) for face recognition. First, we propose a multi-task c...

[The gender features of disorders of composition of lipids of blood serum in patients with chronic pathology of kidneys.].

The purpose of the study was to investigate gender features of abnormalities of blood serum lipid co...

SPICODYN: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings.

We implemented an automated and efficient open-source software for the analysis of multi-site neuron...

Procalcitonin in inflammatory bowel disease: Drawbacks and opportunities.

The measurement of procalcitonin has recently become a mainstay for the diagnosis and therapeutic ma...

[Construction and identification of nanobody phage display library targeting Middle East respiratory syndrome coronavirus].

Objective To construct a phage display library of specific nano-antibodies against the Middle East r...

Serum 25-hydroxyvitamin D levels in patients with Granulomatosis with Polyangiitis: association with respiratory infection.

OBJECTIVES: To determine the possible association of serum 25-hydroxyvitamin D (25OHD) levels with d...

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