Critical Care

Critical Care

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

5,066 articles

Subcategories: Sepsis

Showing 2668-2688 of 5,066 articles

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...

(3)

Jun 2025 40184849

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...

(1)

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...

(1)

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...

(1)

Jun 2025 40143459

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

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-...

(2)

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

Browse Categories

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.

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.

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

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

Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data

Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit.

Visualized Text-to-Image Retrieval

Multi-modal brain encoding models for multi-modal stimuli

MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support

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