Critical Care

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

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Showing 2773-2793 of 5,099 articles
[Intelligent rehabilitation platform in intensive care unit].

As the development of rehabilitation medicine and critical care medicine, intensive care rehabilitat...

Nov 2023 37914417
ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units.

Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). ...

Oct 2023 37819834
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers.

Background Clinicians consider both imaging and nonimaging data when diagnosing diseases; however, c...

Oct 2023 37787671
Deep Learning for Automated Triaging of Stable Chest Radiographs in a Follow-up Setting.

Background Most artificial intelligence algorithms that interpret chest radiographs are restricted t...

Oct 2023 37874243
Assessment of Biomedical Waste Generation in Dialysis Units: A Prospective Observational Study-Is it Time for "Green Dialysis"?

: Chronic kidney disease and as a consequence end-stage kidney disease (EKSD) is increasing globally...

Oct 2023 38716524
Prediction of intradialytic hypotension using pre-dialysis features-a deep learning-based artificial intelligence model.

BACKGROUND: Intradialytic hypotension (IDH) is a serious complication of hemodialysis (HD) that is a...

Sep 2023 37019834
Multimodal deep learning approaches for single-cell multi-omics data integration.

Integrating single-cell multi-omics data is a challenging task that has led to new insights into com...

Sep 2023 37651607
[Exploration of remote management and an intelligent platform for in-hospital respiratory therapy].

The construction of an intelligent remote management platform for respiratory therapy, utilizing art...

Sep 2023 37670641
Perceptions of Artificial Intelligence-Assisted Care for Children With a Respiratory Complaint.

OBJECTIVES: To evaluate caregiver opinions on the use of artificial intelligence (AI)-assisted medic...

Sep 2023 37593809
Narrowing the gap: expected versus deployment performance.

OBJECTIVES: Successful model development requires both an accurate a priori understanding of future ...

Aug 2023 37311708
Predicting the risk of mortality in ICU patients based on dynamic graph attention network of patient similarity.

Predicting the risk of mortality of hospitalized patients in the ICU is essential for timely identif...

Jul 2023 37679182
MMSMAPlus: a multi-view multi-scale multi-attention embedding model for protein function prediction.

Protein is the most important component in organisms and plays an indispensable role in life activit...

Jul 2023 37258453
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction.

Adverse drug-drug interactions (DDIs) have become an increasingly serious problem in the medical and...

Jul 2023 37291761
[Intelligent intensive care unit makes medicine more accessible].

In the past half century, critical care medicine has made rapid development, and the survival rate o...

Jul 2023 36977563
Real-Time-Capable Muscle Force Estimation for Monitoring Robotic Rehabilitation Therapy in the Intensive Care Unit.

In this paper, a method is proposed to enable real-time monitoring of muscle forces during robotic r...

Jul 2023 38082800
A Pilot Study of Deep Learning Models for Camera based Hand Hygiene Monitoring in ICU.

Hand hygiene is key to preventing cross-infections in the Intensive Care Unit (ICU). Monitoring of h...

Jul 2023 38083035
DeepPuff: Utilizing Deep Learning for Smoking Behavior Identification in Free-living Environment.

A comprehensive assessment of cigarette smoking behavior and its effect on health requires a detaile...

Jul 2023 38083112
Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron.

Pneumonia is one of the leading causes of morbidity and mortality in children. This is especially tr...

Jul 2023 38083528
Heart Failure Assessment Using Multiparameter Polar Representations and Deep Learning.

Heart failure refers to the inability of the heart to pump enough amount of blood to the body. Nearl...

Jul 2023 38083567
[A method for photoplethysmography signal quality assessment fusing multi-class features with multi-scale series information].

Photoplethysmography (PPG) is often affected by interference, which could lead to incorrect judgment...

Jun 2023 37380394
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