Critical Care

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

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Subcategories: Sepsis
Showing 2542-2562 of 7,452 articles
Multi-objective optimization technique for trajectory planning of multi-humanoid robots in cluttered terrain.

Humanoid robots hold a decent advantage over wheeled robots because of their ability to mimic human ...

Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.

Accurate cardiac segmentation of multimodal images, e.g., magnetic resonance (MR), computed tomograp...

Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning.

Mechanical ventilation is an essential life-support treatment for patients who cannot breathe indepe...

Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID).

In Coronavirus disease 2019 (COVID-19), early identification of patients with a high risk of mortali...

One-step-immunoassay of procalcitonin enables rapid and accurate diagnosis of bacterial infection.

Procalcitonin (PCT) ( a precursor of calcitonin) attracts much attention as a reliable biomarker of ...

Periodicity and multi-periodicity generated by impulses control in delayed Cohen-Grossberg-type neural networks with discontinuous activations.

This paper discusses the periodicity and multi-periodicity in delayed Cohen-Grossberg-type neural ne...

Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model.

Home-cage social behaviour analysis of mice is an invaluable tool to assess therapeutic efficacy of ...

HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning.

Learning to reason in large-scale knowledge graphs has attracted much attention from research commun...

UNRAQ-A Questionnaire for the Use of a Social Robot in Care for Older Persons. A Multi-Stakeholder Study and Psychometric Properties.

(1) Background: while there exist validated measures to assess the needs of older people, there are ...

Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

PURPOSE: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve qualit...

Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates.

Premature birth is the primary risk factor in neonatal deaths, with the majority of extremely premat...

Meta-control: From psychology to computational neuroscience.

Research in the past decades shed light on the different mechanisms that underlie our capacity for c...

Multi-Parametric Fusion of 3D Power Doppler Ultrasound for Fetal Kidney Segmentation Using Fully Convolutional Neural Networks.

Kidney development is key to the long-term health of the fetus. Renal volume and vascularity assesse...

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.

Breast density is widely adopted to reflect the likelihood of early breast cancer development. Exist...

Domain adaptation for segmentation of critical structures for prostate cancer therapy.

Preoperative assessment of the proximity of critical structures to the tumors is crucial in avoiding...

Multi-Task Deep Learning Model for Classification of Dental Implant Brand and Treatment Stage Using Dental Panoramic Radiograph Images.

It is necessary to accurately identify dental implant brands and the stage of treatment to ensure ef...

Fine-tuning of a generative neural network for designing multi-target compounds.

Exploring the origin of multi-target activity of small molecules and designing new multi-target comp...

Unsupervised multi-sense language models for natural language processing tasks.

Existing language models (LMs) represent each word with only a single representation, which is unsui...

Active Learning and the Potential of Neural Networks Accelerate Molecular Screening for the Design of a New Molecule Effective against SARS-CoV-2.

A global pandemic has emerged following the appearance of the new severe acute respiratory virus who...

Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19.

BACKGROUND AND OBJECTIVES: AKI treated with dialysis initiation is a common complication of coronavi...

Kinematics approach with neural networks for early detection of sepsis (KANNEDS).

BACKGROUND: Sepsis is a severe illness that affects millions of people worldwide, and its early dete...

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