Critical Care

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

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Showing 778-798 of 5,089 articles
PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data.

: Glaucoma (GL) classification is crucial for early diagnosis and treatment, yet relying solely on s...

Mar 2025 40142352
ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classification.

Getting new insights on pre-weaned calf behavioral adaptation to routine challenges (transport, grou...

Mar 2025 40231154
A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections.

BACKGROUND: In hospitalized patients, inadequate antibiotic dosage leading to bacterial resistance a...

Mar 2025 40097977
AI Enhanced explainable early prediction of blood culture positivity in neutropenic patients using clinical and hematologic parameters.

Leukemia patients who receive chemotherapy experience a decline in neutrophils and an increased risk...

Mar 2025 40090187
A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning.

Physicians evaluate a patient's respiratory health during a physical examination by visual assessmen...

Mar 2025 40089574
Subphenotyping prone position responders with machine learning.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with varying res...

Mar 2025 40087660
Development and validation of machine learning models for predicting extubation failure in patients undergoing cardiac surgery: a retrospective study.

Patients with multiple comorbidities and those undergoing complex cardiac surgery may experience ext...

Mar 2025 40075125
Lung cancer detection with machine learning classifiers with multi-attribute decision-making system and deep learning model.

Diseases of the airways and the other parts of the lung cause chronic respiratory diseases. The majo...

Mar 2025 40075131
Neuronal and therapeutic perspectives on empathic pain: A rational insight.

Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...

Mar 2025 40081793
Advancing sepsis diagnosis and immunotherapy machine learning-driven identification of stable molecular biomarkers and therapeutic targets.

Sepsis represents a significant global health challenge, necessitating early detection and effective...

Mar 2025 40065038
Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand.

This study aims to construct a prediction model for the demand for medical and daily care services o...

Mar 2025 40069309
Development and validation of an interpretable machine learning model for predicting in-hospital mortality for ischemic stroke patients in ICU.

BACKGROUND: Timely and accurate outcome prediction is essential for clinical decision-making for isc...

Mar 2025 40073651
Harnessing machine learning for predicting successful weaning from mechanical ventilation: A systematic review.

BACKGROUND: Machine learning (ML) models represent advanced computational approaches with increasing...

Mar 2025 40058181
Dynamic Prediction and Intervention of Serum Sodium in Patients with Stroke Based on Attention Mechanism Model.

Abnormal serum sodium levels are a common and severe complication in stroke patients, significantly ...

Mar 2025 40309130
Deep reinforcement learning for multi-targets propofol dosing.

The administration of propofol for sedation or general anesthesia presents challenges due to the com...

Mar 2025 40045084
Leveraging Artificial Intelligence to Reduce Neuroscience ICU Length of Stay.

GOAL: Efficient patient flow is critical at Tampa General Hospital (TGH), a large academic tertiary ...

Mar 2025 40059204
Development and Validation of an Electronic Health Record-Based, Pediatric Acute Respiratory Distress Syndrome Subphenotype Classifier Model.

OBJECTIVE: To determine if hyperinflammatory and hypoinflammatory pediatric acute respiratory distre...

Mar 2025 40047501
Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients.

Predicting post-Percutaneous Coronary Intervention (PCI) outcomes is crucial for effective patient m...

Mar 2025 40048898
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