Critical Care

Sepsis

Latest AI and machine learning research in sepsis for healthcare professionals.

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Showing 988-1008 of 9,021 articles
The impact of recency and adequacy of historical information on sepsis predictions using machine learning.

Sepsis is a major public and global health concern. Every hour of delay in detecting sepsis signific...

Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emer...

Prospective comparative study of postoperative systemic inflammatory syndrome in robot-assisted vs. open kidney transplantation.

PURPOSE: Robot-assisted kidney transplant (RAKT) recently proved to provide functional results simil...

Risk assessment of latent tuberculosis infection through a multiplexed cytokine biosensor assay and machine learning feature selection.

Accurate detection and risk stratification of latent tuberculosis infection (LTBI) remains a major c...

A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients.

Although numerous studies are conducted every year on how to reduce the fatality rate associated wi...

AIoT Used for COVID-19 Pandemic Prevention and Control.

The pandemic of COVID-19 is continuing to wreak havoc in 2021, with at least 170 million victims aro...

Sentiment Analysis Based on the Nursing Notes on In-Hospital 28-Day Mortality of Sepsis Patients Utilizing the MIMIC-III Database.

In medical visualization, nursing notes contain rich information about a patient's pathological cond...

Early Prediction of Sepsis Based on Machine Learning Algorithm.

Sepsis is an organ failure disease caused by an infection resulting in extremely high mortality. Mac...

Predicting bloodstream infection outcome using machine learning.

Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwid...

Deep-learning model for screening sepsis using electrocardiography.

BACKGROUND: Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. ...

Silver Nanoparticles as an Effective Antimicrobial against Otitis Media Pathogens.

Otitis Media (OM) is the most common reason for U.S. children to receive prescribed oral antibiotics...

Deep Learning for Voltammetric Sensing in a Living Animal Brain.

Numerous neurochemicals have been implicated in the modulation of brain function, making them appeal...

Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment.

HIV molecular epidemiology estimates the transmission patterns from clustering genetically similar v...

Cross-species behavior analysis with attention-based domain-adversarial deep neural networks.

Since the variables inherent to various diseases cannot be controlled directly in humans, behavioral...

Gallstone Disease in Cirrhosis-Pathogenesis and Management.

Gallstones are more common in patients with cirrhosis of the liver, and the incidence increases with...

Transoral robotic resection of a lingual thyroid: a novel treatment for obstructive sleep apnoea.

A 34-year-old woman with a history of congenital hypothyroidism and 15 years of obstructive sleep ap...

Biocidal activity of Ba-doped CeO NPs against and bacterial strains.

Mishandling of antibiotics often leads to the development of multiple drug resistance (MDR) among mi...

Are nucleos(t)ide analogues effective against severe outcomes in COVID-19 and hepatitis B virus coinfection?

BACKGROUND AND AIM: The impact of chronic hepatitis B virus (HBV) infection and nucleos(t)ide analog...

Accelerating antibiotic discovery through artificial intelligence.

By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the host...

Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection.

Soil-transmitted helminths (STH) are the most prevalent pathogens among the group of neglected tropi...

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