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Subcategories: Sepsis

Showing 2458-2478 of 5,099 articles

Transformer representation learning is necessary for dynamic multi-modal physiological data on small-cohort patients

Postoperative delirium (POD), a severe neuropsychiatric complication affecting nearly 50% of high-...

Apr 2025 http://arxiv.org/abs/2504.04120v3

Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference

Complex systems with intricate causal dependencies challenge accurate prediction. Effective modeli...

Apr 2025 http://arxiv.org/abs/2504.04015v1

Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection

With more well-performing anomaly detection methods proposed, many of the single-view tasks have b...

Apr 2025 http://arxiv.org/abs/2504.03306v1

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening

Resume screening is a critical yet time-intensive process in talent acquisition, requiring recruit...

Apr 2025 http://arxiv.org/abs/2504.02870v2

Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.

Advances in wearable sensors and artificial intelligence have greatly enhanced the potential of digi...

Apr 2025 40368428

Fast and interpretable mortality risk scores for critical care patients.

OBJECTIVE: Prediction of mortality in intensive care unit (ICU) patients typically relies on black b...

Apr 2025 39873685

An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation

Accurate evaluation of regional lung ventilation is essential for the management and treatment of ...

Mar 2025 http://arxiv.org/abs/2503.23898v1

DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation

Learning from longitudinal electronic health records is limited if it does not capture the tempora...

Mar 2025 http://arxiv.org/abs/2503.22257v1

X$^{2}$-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction

Four-dimensional computed tomography (4D CT) reconstruction is crucial for capturing dynamic anato...

Mar 2025 http://arxiv.org/abs/2503.21779v1

Sparse Bayesian Learning for Label Efficiency in Cardiac Real-Time MRI

Cardiac real-time magnetic resonance imaging (MRI) is an emerging technology that images the heart...

Mar 2025 http://arxiv.org/abs/2503.21443v1

Reinforcing Clinical Decision Support through Multi-Agent Systems and Ethical AI Governance

Recent advances in the data-driven medicine approach, which integrates ethically managed and expla...

Mar 2025 http://arxiv.org/abs/2504.03699v3

Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment

Chest X-ray radiographs (CXRs) play a pivotal role in diagnosing and monitoring cardiopulmonary di...

Mar 2025 http://arxiv.org/abs/2503.19860v1

PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping

Computational phenotyping is essential for biomedical research but often requires significant time...

Mar 2025 http://arxiv.org/abs/2503.19265v2

RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesis

Painting textures for existing geometries is a critical yet labor-intensive process in 3D asset ge...

Mar 2025 http://arxiv.org/abs/2503.19011v1

MotionDiff: Training-free Zero-shot Interactive Motion Editing via Flow-assisted Multi-view Diffusion

Generative models have made remarkable advancements and are capable of producing high-quality cont...

Mar 2025 http://arxiv.org/abs/2503.17695v2

Echo-E$^3$Net: Efficient Endo-Epi Spatio-Temporal Network for Ejection Fraction Estimation

Left ventricular ejection fraction (LVEF) is a critical metric for assessing cardiac function, wid...

Mar 2025 http://arxiv.org/abs/2503.17543v1

NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction

In critical care settings, timely and accurate predictions can significantly impact patient outcom...

Mar 2025 http://arxiv.org/abs/2503.16708v1

MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidance

Image fusion, a fundamental low-level vision task, aims to integrate multiple image sequences into...

Mar 2025 http://arxiv.org/abs/2503.14944v1

Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction

Sepsis is a life-threatening syndrome with high morbidity and mortality in hospitals. Early predic...

Mar 2025 http://arxiv.org/abs/2503.14663v1

Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach

False arrhythmia alarms in intensive care units (ICUs) are a significant challenge, contributing t...

Mar 2025 http://arxiv.org/abs/2503.14621v1

Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning

Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity...

Mar 2025 http://arxiv.org/abs/2503.14239v1