Critical Care

Sepsis

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

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Showing 2647-2667 of 7,154 articles
The best machine learning algorithm for building surgical site infection predictive models: A systematic review and network meta-analysis.

BACKGROUND: Many machine learning (ML) algorithms have been used to develop surgical site infection ...

Jun 2025 40311461
Artificial Intelligence and Hand Hygiene Accuracy: A New Era in Infection Control for Dental Practices.

OBJECTIVE: The study aimed to assess the efficacy of an artificial intelligence (AI) model in evalua...

(1)
Jun 2025 40417863
Machine Learning Insights Into Amputation Risk: Evaluating Wound Classification Systems in Diabetic Foot Ulcers.

This study compares the performance of various wound classification systems to determine which syste...

Jun 2025 40462388
Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey.

IMPORTANCE: Sepsis is a major cause of morbidity and mortality, with early intervention shown to imp...

(1)
Jun 2025 40466050
Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...

(1)
Jun 2025 40443788
Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...

Jun 2025 40455626
Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis.

OBJECTIVE: Early fluid resuscitation is crucial in the treatment of sepsis, yet the optimal dosage r...

(1)
Jun 2025 40222267
Prognostic value of the Glucose-to-Albumin ratio in sepsis-related mortality: A retrospective ICU study.

AIMS: To investigate the prognostic value of the glucose-to-albumin ratio (GAR) in predicting 30-day...

Jun 2025 40345593
Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study.

BACKGROUND: The development of sepsis in the intensive care unit (ICU) is rapid, the golden rescue t...

May 2025 40446292
Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction

Sepsis is a life-threatening condition affecting over 48.9 million people globally and causing 11 ...

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning

Traditional methods of surgical decision making heavily rely on human experience and prompt action...

A machine learning and centrifugal microfluidics platform for bedside prediction of sepsis.

Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays ...

May 2025 40425547
Predicting the risk of ibrutinib in combination with R-ICE in patients with relapsed or refractory DLBCL using explainable machine learning algorithms.

Relapsed or refractory diffuse large B-cell lymphoma (DLBCL) poses significant therapeutic challenge...

May 2025 40418267
A predictive model for hospital death in cancer patients with acute pulmonary embolism using XGBoost machine learning and SHAP interpretation.

The prediction of in-hospital mortality in cancer patients with acute pulmonary embolism (APE) remai...

(2)
May 2025 40414906
Exploring treatment effects and fluid resuscitation strategies in septic shock: a deep learning-based causal inference approach.

Septic shock exhibits diverse etiologies and patient characteristics, necessitating tailored fluid m...

May 2025 40415107
Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Accurate, real-time monitoring of tissue ischemia is crucial to understand tissue health and guide...

(3)
Machine Learning-Guided Cobalt@Copper Dual-Metal Electrochemical Sensor for Urinary Creatinine Detection.

By utilizing the synergistic effects of a dual-metal cobalt@copper electrode and advanced machine le...

May 2025 40327042
Predicting and interpreting key features of refractory Mycoplasma pneumoniae pneumonia using multiple machine learning methods.

In recent years, the incidence of refractory Mycoplasma pneumoniae pneumonia (RMPP) has significantl...

May 2025 40410245
Bio inspired feature selection and graph learning for sepsis risk stratification.

Sepsis remains a leading cause of mortality in critical care settings, necessitating timely and accu...

May 2025 40404796
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