Critical Care

Critical Care

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

5,099 articles

Subcategories: Sepsis

Showing 2332-2352 of 5,099 articles

Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey.

IMPORTANCE: Sepsis is a major cause of morbidity and mortality, with early intervention shown to imp...

Jun 2025 40466050

Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...

Jun 2025 40443788

Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...

Jun 2025 40455626

Self-supervised multi-modality learning for multi-label skin lesion classification.

BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical...

Jun 2025 40184849

multiPI-TransBTS: A multi-path learning framework for brain tumor image segmentation based on multi-physical information.

Brain Tumor Segmentation (BraTS) plays a critical role in clinical diagnosis, treatment planning, an...

Jun 2025 40215867

Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis.

OBJECTIVE: Early fluid resuscitation is crucial in the treatment of sepsis, yet the optimal dosage r...

Jun 2025 40222267

Automatic cough detection via a multi-sensor smart garment using machine learning.

Coughing behavior is associated with conditions such as sleep apnea, asthma, and chronic obstructive...

Jun 2025 40239229

Text mining for case report articles on "peritoneal dialysis" from PubMed database.

INTRODUCTION: The number of published medical articles on peritoneal dialysis (PD) has been increasi...

Jun 2025 40143459

Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation.

Traditional Chinese herbal medicine has long been recognized as an effective natural therapy. Recent...

Jun 2025 40168944

Prognostic value of the Glucose-to-Albumin ratio in sepsis-related mortality: A retrospective ICU study.

AIMS: To investigate the prognostic value of the glucose-to-albumin ratio (GAR) in predicting 30-day...

Jun 2025 40345593

Attention to early stages: predicting acute kidney injury in a post cardiosurgical ICU setting using an inclusive time-to-event model.

BACKGROUND: Acute kidney injury (AKI) is a critical complication in intensive care units (ICUs) that...

Jun 2025 40349581

Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study.

BACKGROUND: The development of sepsis in the intensive care unit (ICU) is rapid, the golden rescue t...

May 2025 40446292

MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

Spatial intelligence is essential for multimodal large language models (MLLMs) operating in the co...

May 2025 http://arxiv.org/abs/2505.23764v1

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations

Multi-modal large language models have demonstrated remarkable zero-shot abilities and powerful im...

May 2025 http://arxiv.org/abs/2505.23121v1

Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction

Sepsis is a life-threatening condition affecting over 48.9 million people globally and causing 11 ...

May 2025 http://arxiv.org/abs/2505.22840v1

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs

Multi-modal Large Language Models (MLLMs) excel at single-image tasks but struggle with multi-imag...

May 2025 http://arxiv.org/abs/2505.22396v1

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain

Biomedical reasoning often requires traversing interconnected relationships across entities such a...

May 2025 http://arxiv.org/abs/2505.22240v2

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain

Biomedical reasoning often requires traversing interconnected relationships across entities such a...

May 2025 http://arxiv.org/abs/2505.22240v1

STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds

In cloud-scale systems, failures are the norm. A distributed computing cluster exhibits hundreds o...

May 2025 http://arxiv.org/abs/2506.02009v1

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning

Traditional methods of surgical decision making heavily rely on human experience and prompt action...

May 2025 http://arxiv.org/abs/2505.21596v1

Simulating Ethics: Using LLM Debate Panels to Model Deliberation on Medical Dilemmas

This paper introduces ADEPT, a system using Large Language Model (LLM) personas to simulate multi-...

May 2025 http://arxiv.org/abs/2505.21112v1

Browse Categories

Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey.

Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

Self-supervised multi-modality learning for multi-label skin lesion classification.

multiPI-TransBTS: A multi-path learning framework for brain tumor image segmentation based on multi-physical information.

Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis.

Automatic cough detection via a multi-sensor smart garment using machine learning.

Text mining for case report articles on "peritoneal dialysis" from PubMed database.

Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation.

Prognostic value of the Glucose-to-Albumin ratio in sepsis-related mortality: A retrospective ICU study.

Attention to early stages: predicting acute kidney injury in a post cardiosurgical ICU setting using an inclusive time-to-event model.

Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study.

MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations

Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain

STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning

Simulating Ethics: Using LLM Debate Panels to Model Deliberation on Medical Dilemmas

Browse Categories