Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 2542-2562 of 7,154 articles
Learning temporal structure engages hippocampus and guides value-based behaviour

The ability to learn and exploit structured relationships between events is fundamental to adaptive ...

Clinically Interpretable Sepsis Early Warning via LLM-Guided Simulation of Temporal Physiological Dynamics

Timely and interpretable early warning of sepsis remains a major clinical challenge due to the compl...

Infection-Reasoner: A Compact Vision-Language Model for Wound Infection Classification with Evidence-Grounded Clinical Reasoning

Assessing chronic wound infection from photographs is challenging because visual appearance varies a...

CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction

Accurate prediction of future risk and disease progression in sepsis is clinically important for ear...

Representation over Routing: Overcoming Surrogate Hacking in Multi-Timescale PPO

Temporal credit assignment in reinforcement learning has long been a central challenge. Inspired by ...

Clinician-Informed Feature Engineering Improves Machine Learning Assignment of Molecular Endotypes in the Intensive Care Unit

Objective: To develop a workflow that transforms electronic health record data into machine learning...

Predicting highly pathogenic avian influenza H5N1 outbreak risk using extreme weather and bird migration data in machine learning models

Background. Climate change is intensifying extreme weather events (EWEs) with potentially profound c...

Integrated Bioinformatics Analysis Identifies and Validates Novel Cellular Senescence-Associated Genes in Sepsis and Sepsis-Induced ARDS

Sepsis can lead to acute respiratory distress syndrome (ARDS) and is associated with a high mortalit...

Contrastive Transformer-Driven Discovery of Temporal Hemodynamic Subphenotypes in Cardiac Surgery Patients

Cardiac surgery patients experience rapidly evolving hemodynamics in early post-operative period req...

Brain-Cognitive Gaps in relation to Dopamine and Health-related Factors: Insights from AI-Driven Functional Connectome Predictions

A key question in human neuroscience is to understand how individual differences in brain function r...

FoundedPBI: Using Genomic Foundation Models to predict Phage-Bacterium Interactions

The scalability of phage therapy as a viable alternative or complement to antibiotics is limited by ...

Attention-based Pin Site Image Classification in Orthopaedic Patients with External Fixators

Pin sites represent the interface where a metal pin or wire from the external environment passes thr...

Multi-timescale Computation by Astrocytes

The basic computational unit of the brain has long been defined as the neuron. However, mounting evi...

Context-Aware Emergency Department Triage Using Pairwise Comparisons and Bradley-Terry Aggregation

Objective: To evaluate a ranking approach for emergency department (ED) waiting room prioritization ...

Rapid Bacterial Identification and Antibiotic Susceptibility Testing through Interferometry-based Surface Topography Measurement

Antimicrobial resistance poses a critical global health threat. For many bacterial infections, such ...

Reinforcement Learning for Antibiotic Stewardship: Optimizing Prescribing Policies Under Antimicrobial Resistance Dynamics

Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating ste...

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