Critical Care

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

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Showing 2080-2100 of 5,061 articles
Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.

BACKGROUND: The purpose of this review is to depict current research and impact of artificial intell...

(1)
Jun 2020 32596403
Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.

Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including...

May 2020 32451808
Predicting Survival After Extracorporeal Membrane Oxygenation by Using Machine Learning.

BACKGROUND: Venoarterial (VA) extracorporeal membrane oxygenation (ECMO) undoubtedly saves many live...

May 2020 32454016
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score.

Current stroke risk assessment tools presume the impact of risk factors is linear and cumulative. Ho...

May 2020 32437368
Applications of artificial intelligence and machine learning in respiratory medicine.

The past 5 years have seen an explosion of interest in the use of artificial intelligence (AI) and m...

May 2020 32409611
Deep Multi-Critic Network for accelerating Policy Learning in multi-agent environments.

Humans live among other humans, not in isolation. Therefore, the ability to learn and behave in mult...

May 2020 32446194
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.

Many COVID-19 patients infected by SARS-CoV-2 virus develop pneumonia (called novel coronavirus pneu...

May 2020 32416069
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea.

Herein, we aim to assess mortality risk prediction in peritoneal dialysis patients using machine-lea...

(3)
May 2020 32366838
Artificial intelligence to codify lung CT in Covid-19 patients.

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has already assumed pande...

May 2020 32367319
Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia.

This study quantified eight small-molecule neurotransmitters collected simultaneously from prefronta...

Apr 2020 32347157
Exploration of critical care data by using unsupervised machine learning.

BACKGROUND AND OBJECTIVE: Identification of subgroups may be useful to understand the clinical chara...

Apr 2020 32403049
Implementation of an Artificial Intelligence Algorithm for sepsis detection.

OBJECTIVES: to present the nurses' experience with technological tools to support the early identifi...

Apr 2020 32294705
Characterization of sodium removal to ultrafiltration volume in a peritoneal dialysis outpatient cohort.

BACKGROUND: Failure to control volume is the second most common cause of peritoneal dialysis (PD) te...

Apr 2020 33777375
Sulodexide modulates the dialysate effect on the peritoneal mesothelium.

Peritoneal membrane damage during chronic peritoneal dialysis is the main cause of that treatment fa...

Mar 2020 32203941
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning.

The primary objective of this paper is to build classification models and strategies to identify bre...

Mar 2020 32191898
Artificial intelligence and machine learning in respiratory medicine.

: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in parti...

Mar 2020 32166988
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce...

(1)
Mar 2020 32132525
Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR Data.

In this work, we utilize a combination of free-text and structured data to build Acute Respiratory D...

Mar 2020 32308815
Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients.

Hospital acquired pneumonia (HAP) is the second most common nosocomial infection in the ICU and cost...

(1)
Mar 2020 32308840
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