Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 1408-1428 of 9,043 articles
Analysis of tuberculosis disease through Raman spectroscopy and machine learning.

We present the effectiveness of Raman spectroscopy (RS) in combination with machine learning for scr...

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals, b...

A multi-strain probiotic administered via drinking water enhances feed conversion efficiency and meat quality traits in indigenous chickens.

Whereas the use of probiotics is commonplace in commercial production of improved chicken strains, l...

Roles for globus pallidus externa revealed in a computational model of action selection in the basal ganglia.

The basal ganglia are considered vital to action selection - a hypothesis supported by several biolo...

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance.

Mycobacterium tuberculosis is a serious human pathogen threat exhibiting complex evolution of antimi...

Minimally invasive, robot-assisted procedure for kidney transplantation among morbidly obese: Positive outcomes at 5 years post-transplant.

The pre-transplant weight loss required of end-stage renal disease patients is often unachievable. T...

Analysis of platelet-activating factors in severe sepsis by flow cytometry and its correlation with clinical sepsis scoring system: A pilot study.

BACKGROUND: Sepsis is a major global healthcare concern. Platelets and leucocytes play a key role in...

Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia.

: Early and appropriate empiric antibiotic treatment of patients suspected of having sepsis is assoc...

Diagnosis of urinary tract infection based on artificial intelligence methods.

BACKGROUND AND OBJECTIVE: Urinary tract infection (UTI) is a common disease affecting the vast major...

Critically Ill Recipients of Weight-Based Fluconazole Meeting Drug-Induced Liver Injury Network Criteria.

Fluconazole-associated liver injury is estimated to occur in <10% of patients; however, effect of w...

A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis.

INTRODUCTION: Sepsis is associated to a high mortality rate, and its severity must be evaluated quic...

Implementation of deep neural networks to count dopamine neurons in substantia nigra.

Unbiased estimates of neuron numbers within substantia nigra are crucial for experimental Parkinson'...

Comparison of the Abbott Architect BRAHMS and the Biomérieux Vidas BRAHMS Procalcitonin Assays.

BACKGROUND: Procalcitonin (PCT) is a well-established marker for bacterial infection. Recently the U...

Association of Helicobacter pylori Infection With Colon Cancer and Adenomatous Polyps.

BACKGROUND AND OBJECTIVE: infection is one of the most common chronic bacterial infections in the w...

Annual Research Review: Developmental computational psychiatry.

Most psychiatric disorders emerge during childhood and adolescence. This is also a period that coinc...

Preparation, characterization, and antibacterial activity of diclofenac-loaded chitosan nanoparticles.

Emerging antibiotic resistance necessitates the development of new therapeutic approaches. Many stud...

Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination.

, a smut fungus, is studied as an agent for the biological control of (milk thistle) weed. Confirma...

A Rapid Bacteriophage DNA Extraction Method.

Bacteriophages (phages) are intensely investigated as non-antibiotic alternatives to circumvent anti...

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