Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 127-147 of 7,129 articles
Imaging cellular activity across all organs reveals body-wide circuits.

An animal's ability to survive and thrive-whether fleeing from danger, eating a meal, or fighting an...

(2)
Sep 2026 42717095
Artificial intelligence for early sepsis detection and dynamic prognostication in onco-critical care.

Critically ill cancer patients have a unique physiological profile marked by severe immunosuppressio...

(1)
Sep 2026 42707855
Machine Learning Model for Predicting Risk Factor Analysis and a Mortality Prediction Model of Acute Cholangitis Complicated with Sepsis.

This study examined factors associated with sepsis in acute cholangitis and developed outcome-specif...

(5)
Sep 2026 42714037
Development and validation of machine learning models to predict 30-day mortality in patients with cardiac arrest complicated by acute kidney injury.

BACKGROUND: Cardiac Arrest (CA) often leads to Acute Kidney Injury (AKI), presenting a major health ...

(1)
Sep 2026 42710354
Machine-learning prediction of urine-culture positivity in a multicentre test-ordered cohort: Model development and internal validation.

OBJECTIVES: This study aim to develop, compare and internally validate machine-learning models for p...

Sep 2026 42713409
Graph neural network-based risk stratification of prostate cancer using gene expression and SHAP interpretability.

Accurate risk stratification is essential for guiding treatment decisions and preventing over treatm...

(1)
Sep 2026 42709904
Machine Learning-Based Subtype Classification of Sepsis-Associated Acute Kidney Injury and Differential Responses to Renal Replacement Therapy.

BackgroundSepsis-associated acute kidney injury (SA-AKI) is highly heterogeneous with controversial ...

(2)
Sep 2026 42693505
Radiomics and artificial intelligence in pituitary adenomas (PitNETs): from imaging biomarkers to clinical translation.

Pituitary neuroendocrine tumors (PitNETs) are common intracranial neoplasms with heterogeneous hormo...

(1)
Sep 2026 42684588
Early Prediction of Sepsis Utilizing Self-Regulated Generative Adversarial Network and Deep Transfer Fuzzy SVM.

Sepsis is a life-threatening condition that can be fatal. Advances in big data analytics and the dat...

(1)
Sep 2026 42685168
Evaluation of a One-Step Serological Test for Lyme Disease.

BACKGROUND: Lyme disease, a vector-borne zoonosis caused by Borrelia species, is classified into ear...

(2)
Sep 2026 42678044
Integrating Target Prediction and Transcriptomic Analysis Identifies the AKR1C2-KRT8 Axis in Rotenone-Induced Dopaminergic Neuron Injury.

Parkinson's disease (PD) is a complex neurodegenerative disorder in which environmental toxins play ...

Sep 2026 42679909
Nailfold capillary phenotypes distinguish juvenile myositis subtypes and associate with disease activity.

BACKGROUND: Nailfold capillaroscopy is a non-invasive method to visualize altered microcirculation i...

(1)
Sep 2026 42681940
Monitoring and improving the effectiveness of cleaning medical and surgical devices: A practical verification framework.

BACKGROUND: Cleaning is the foundational step in medical device reprocessing; residual soil and biof...

Sep 2026 42556941
Development and Validation of an Interpretable Machine Learning Model for Predicting ICU-Acquired Weakness in Postoperative Patients.

BACKGROUND: ICU-acquired weakness (ICU-AW) is a common and debilitating complication among criticall...

(1)
Sep 2026 42642795
Comparative outcomes and predictive factors in vacuum, forceps, and sequential vacuum-forceps operative vaginal deliveries.

BACKGROUND: Operative vaginal delivery (OVD) is an important alternative to cesarean section, but th...

(1)
Aug 2026 42675011
From metabolite mapping to precision imaging: advances in in vivo MR spectroscopy of brain tumours.

Magnetic resonance spectroscopy (MRS) provides non-invasive in vivo assessment of brain tumour metab...

(1)
Aug 2026 42674226
Prospective economic evaluation of a predictive artificial intelligence model for sepsis: Effects on hospital costs and return on investment.

Early sepsis detection is essential for improving outcomes and reducing costs, but traditional rule-...

(1)
Aug 2026 42672083
Identification of RING finger protein-related biomarkers in sepsis based on explainable machine learning: A comprehensive analysis.

OBJECTIVE: To systematically identify RING finger protein (RNF) biomarkers with diagnostic value in ...

(2)
Aug 2026 42691628
Intrarenal pressure monitoring in retrograde intrarenal surgery for high-infectious risk populations.

PURPOSE: To evaluate the feasibility of real-time intrarenal pressure (IRP) monitoring using the Lit...

(5)
Aug 2026 42667385
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