Critical Care

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

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Subcategories: Sepsis
Showing 2542-2562 of 5,066 articles
FusionBERT: Multi-View Image-3D Retrieval via Cross-Attention Visual Fusion and Normal-Aware 3D Encoder

We propose FusionBERT, a novel multi-view visual fusion framework for image-3D multimodal retrieval....

MATA-Former & SIICU: Semantic Aware Temporal Alignment for High-Fidelity ICU Risk Prediction

Forecasting evolving clinical risks relies on intrinsic pathological dependencies rather than mere 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...

MedResearchBench: A Multi-Domain Benchmark for Evaluating AI Research Agents on Clinical Medical Research

The rapid advancement of AI research automation systems--including AI Scientist, data-to-paper, and ...

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...

Measuring the Unmeasurable: A Diagnostic Sensor for AI Reasoning Pathology in Sequential Clinical Decision-Making

Large Language Models achieve impressive accuracy on medical benchmarks that present clinical inform...

Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQA

Miscalibrated confidence scores are a practical obstacle to deploying AI in clinical settings. A mod...

SMSP: A Plug-and-Play Strategy of Multi-Scale Perception for MLLMs to Perceive Visual Illusions

Recent works have shown that Multimodal Large Language Models (MLLMs) are highly vulnerable to hidde...

MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation

Subject-driven image generation is increasingly expected to support fine-grained control over multip...

Biophysics-Enhanced Neural Representations for Patient-Specific Respiratory Motion Modeling

A precise spatial delivery of the radiation dose is crucial for the treatment success in radiotherap...

Respiratory Status Detection with Video Transformers

Recognition of respiratory distress through visual inspection is a life saving clinical skill. Clini...

An AI-Driven Decision-Support Tool for Triage of COVID-19 Patients Using Respiratory Microbiome Data

Accurate clinical triage is critical for optimizing decision-making and resource allocation during i...

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 ...

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

Background: This study aims to develop and validate federated learning models for predicting major p...

AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems

As multi-agent AI systems are increasingly deployed in real-world settings - from automated customer...

Multimodal Deep Learning for Early Prediction of Patient Deterioration in the ICU: Integrating Time-Series EHR Data with Clinical Notes

Early identification of patients at risk for clinical deterioration in the intensive care unit (ICU)...

Fair Benchmarking of Emerging One-Step Generative Models Against Multistep Diffusion and Flow Models

State-of-the-art text-to-image models produce high-quality images, but inference remains expensive a...

SemiTooth: a Generalizable Semi-supervised Framework for Multi-Source Tooth Segmentation

With the rapid advancement of artificial intelligence, intelligent dentistry for clinical diagnosis ...

Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification

Mechanical ventilation (MV) is a life-saving intervention for patients with acute respiratory failur...

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