Critical Care

Sepsis

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

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Showing 1975-1995 of 9,055 articles
Principi di farmacodinamica e farmacocinetica nello switch tra antipsicotici: focus su cariprazina.

Cariprazina {RGH-188; trans-N- [4- [2- [4- (2,3-diclorofenil) piperazin-1-il] etil] cicloesil] -N_, ...

Three Dimensional Analysis of SPECT Images for Diagnosing Early Parkinson's Disease using Radial Basis Function Kernel - Extreme Learning Machine.

BACKGROUND: Parkinson's Disease (PD) is caused by the deficiency of dopamine, the neurotransmitter t...

New Computational Tool Based on Machine-learning Algorithms for the Identification of Rhinovirus Infection-Related Genes.

BACKGROUND: Human rhinovirus has different identified serotypes and is the most common cause of cold...

Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning.

The steady increase in the number of patients equipped with mechanical heart support implants, such ...

Precision immunoprofiling to reveal diagnostic signatures for latent tuberculosis infection and reactivation risk stratification.

Latent tuberculosis infection (LTBI) is estimated in nearly one quarter of the world's population, a...

Hydrocortisone, Vitamin C and thiamine for the treatment of sepsis and septic shock following cardiac surgery.

BACKGROUND AND AIMS: The effect of vitamin C on vasopressor requirement in critically ill patients h...

The role of presepsin in the diagnosis and assessment of severity of sepsis and severe pneumonia.

AIM: The aim of this study was to evaluate marker of inflammation presepsin to improve diagnosis of ...

Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU.

OBJECTIVES: We used artificial intelligence to develop a novel algorithm using physiomarkers to pred...

Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks.

Sepsis is a life-threatening condition caused by infection and subsequent overreaction by the immune...

[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to c...

Predicting Corticosteroid-Free Biologic Remission with Vedolizumab in Crohn's Disease.

BACKGROUND AND AIMS: Vedolizumab (VDZ) is effective for Crohn's disease (CD) but costly and is slow ...

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critica...

Infection prevention and control challenges of using a therapeutic robot.

This work was part of a National Institute for Health Research participatory action research and pra...

Fractional Carbon Dioxide Laser in Combination with Topical Corticosteroid Application in Resistant Alopecia Areata: A Case Series.

INTRODUCTION: Intradermal steroid injections are used as treatment option in resistant alopecia area...

WAITING DAAS LIST MORTALITY IMPACT IN HCV CIRRHOTIC PATIENTS.

BACKGROUND: The infection for the hepatitis C virus (HCV) is a leading cause of liver-related morbid...

Prevalence of latent Mycobacterium tuberculosis infection in renal transplant recipients.

OBJECTIVE: To estimate the prevalence of latent Mycobacterium tuberculosis infection (LTBI) in renal...

The Spontaneous Control of HIV Replication is Characterized by Decreased Pathological Changes in the Gut-associated Lymphoid Tissue.

BACKGROUND: HIV infection induces alterations in the gut-associated lymphoid tissue (GALT) that cons...

[RETROPERITONEAL LIPOSARCOMA WITH MULTIPLE RECURRENCE OF LUNG METASTASES TREATED BY MULTIMODAL THERAPY CENTERING ON THE OPERATION: A CASE REPORT].

A 34-year-old man presented with scrotal pain and slight fever. The scrotal pain was improved by the...

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