Critical Care

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

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Subcategories: Sepsis
Showing 1597-1617 of 5,061 articles
Evaluation of robot-assisted laparoscopic versus conventional laparoscopic hiatal hernia repair in children.

Laparoscopic approach is the gold standard for repairing hiatal hernia (HH). Robotic technology is n...

(5)
Jan 2024 38231355
Incidence, Determinants, and Outcome of Contrast-induced Acute Kidney Injury following Percutaneous Coronary Intervention at a Tertiary Care Hospital.

Contrast-induced acute kidney injury (CI-AKI) after percutaneous coronary intervention (PCI) is the ...

Jan 2024 38231716
Study on the Effect of Low Calcium Dialysate on Biochemical Profile of Adynamic Bone Disease in Patients on Maintenance Hemodialysis.

In recent years, adynamic bone disease (ABD) has become a common skeletal lesion in adult patients w...

Jan 2024 38231717
Random forest can accurately predict the technique failure of peritoneal dialysis associated peritonitis patients.

INSTRUCTIONS: Peritoneal dialysis associated peritonitis (PDAP) is a major cause of technique failur...

Jan 2024 38298506
Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project.

Large-scale medical data sets are vital for hands-on education in health data science but are often ...

(1)
Jan 2024 38227356
[Potential of AI for the Treatment of Acute Respiratory Distress Syndrome (ARDS)].

Acute respiratory distress syndrome (ARDS) is still associated with high mortality rates and poses a...

Jan 2024 38190824
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention.

The tracking methods based on Transformer have shown great potential in visual tracking and achieved...

(4)
Jan 2024 38237443
Heart rate complexity helps mortality prediction in the intensive care unit: A pilot study using artificial intelligence.

BACKGROUND: In intensive care units (ICUs), accurate mortality prediction is crucial for effective p...

(1)
Jan 2024 38183707
Deep learning-based prediction of in-hospital mortality for sepsis.

As a serious blood infection disease, sepsis is characterized by a high mortality risk and many comp...

(3)
Jan 2024 38172160
Integrated analysis of single-cell RNA-seq and chipset data unravels PANoptosis-related genes in sepsis.

BACKGROUND: The poor prognosis of sepsis warrants the investigation of biomarkers for predicting the...

Jan 2024 38239341
Contrast-Induced Nephropathy in Interventional Cardiology: Incidence, Risk Factors, and Identification of High-Risk Patients.

AIM: This study aimed to study contrast-induced nephropathy (CIN) or more recent nomenclature contra...

Dec 2023 38288173
TRENDS IN CHOLESTEROL AND LIPOPROTEINS ARE ASSOCIATED WITH ACUTE RESPIRATORY DISTRESS SYNDROME INCIDENCE AND DEATH AMONG SEPSIS PATIENTS.

Objective: Compare changes in cholesterol and lipoprotein levels occurring in septic patients with a...

Dec 2023 38407817
Regulatory effects of mangiferin on LPS-induced inflammatory responses and intestinal flora imbalance during sepsis.

Studies suggest that mangiferin (MAF) has good therapeutic effects on chronic bronchitis and hepatit...

Dec 2023 38455195
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals.

Clinical risk prediction with electronic health records (EHR) using machine learning has attracted l...

Dec 2023 38264713
Expression and significance of serum KL-6 in patients with acute respiratory distress syndrome.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common and serious complication that occ...

Dec 2023 38249915
Using Signal Features of Functional Near-Infrared Spectroscopy for Acute Physiological Score Estimation in ECMO Patients.

Extracorporeal membrane oxygenation (ECMO) is a vital emergency procedure providing respiratory and ...

Dec 2023 38247902
Neurologic Statistical Prognostication and Risk Assessment for Kids on Extracorporeal Membrane Oxygenation-Neuro SPARK.

This study presents Neuro-SPARK, the first scoring system developed to assess the risk of neurologic...

Dec 2023 38557687
Developing a model to predict neonatal respiratory distress syndrome and affecting factors using data mining: A cross-sectional study.

One of the major challenges that hospitals and clinicians face is the early identification of newbo...

Dec 2023 38292513
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