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Subcategories: Sepsis

Showing 2773-2793 of 5,066 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

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...

(1)

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...

(2)

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

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

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

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...

(1)

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...

(2)

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...

(2)

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

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation

The fusion of Large Language Models with vision models is pioneering new possibilities in user-int...

(2)

Mar 2025 http://arxiv.org/abs/2503.13881v1

The Impact of Artificial Intelligence on Emergency Medicine: A Review of Recent Advances

Artificial Intelligence (AI) is revolutionizing emergency medicine by enhancing diagnostic process...

(1)

Mar 2025 http://arxiv.org/abs/2503.14546v1

Browse Categories

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

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

Fast and interpretable mortality risk scores for critical care patients.

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

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

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

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

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

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

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

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

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

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

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

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

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation

The Impact of Artificial Intelligence on Emergency Medicine: A Review of Recent Advances

AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients

Multi-modal Time Series Analysis: A Tutorial and Survey

MAP: Multi-user Personalization with Collaborative LLM-powered Agents

A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study

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