Critical Care

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

5,099 articles
Stay Ahead - Weekly Critical Care research updates
Subscribe
Browse Categories
Subcategories: Sepsis
Showing 2626-2646 of 5,099 articles
Multimodal Deep Learning for ARDS Detection

Poor outcomes in acute respiratory distress syndrome (ARDS) can be alleviated with tools that suppor...

Detecting Stigmatizing Language in Clinical Notes with Large Language Models for Addiction Care

Recent studies have found that stigmatizing terms can incline physicians to pursue punitive approach...

Evaluating Deep Learning Sepsis Prediction Models in ICUs Under Distribution Shift: A Multi-Centre Retrospective Cohort Study

Sepsis remains a leading cause of mortality in intensive care units (ICUs) worldwide, underscoring t...

Spirometry parameter prediction using Acoustic characteristics of Cough

Spirometry evaluates lung function by measuring airflow post-maximal inspiration, using parameters l...

Toward Digital Twins in the Intensive Care Unit: A Medication Management Case Study

To evaluate the efficacy of digital twins developed using a large language model (LLaMA-3), fine-tun...

Intensive Care Unit Capital-Budgeting Workbench: An Open-Source Decision-Support Application for High-Acuity Investment Planning

Capital budgeting in intensive care units (ICUs) demands rapid, high-stakes investment decisions. We...

Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes

Artificial intelligence (AI) and statistical models designed to predict same-admission outcomes for ...

Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network

Artificial intelligence and deep learning are increasingly applied in the clinical domain, particula...

Developing an ICU Mortality Risk Prediction Model for Acute Myocardial Infarction Patients Based on Machine Learning

Patients with acute myocardial infarction (AMI) are in a critical condition, facing a high risk of d...

CardiacGPT™: A Real-Time AI Assistant for Intraoperative Guidance and Postoperative Decision Support in Cardiac Surgery

Cardiac surgery is one of the most complex and high-stakes areas of medicine, where intraoperative d...

Wireless Colorimetric Multi-Biomarker Sensing to Enable Critical Neonatal Monitoring

Clinical monitoring in the most vulnerable patients such as newborns relies on invasive and costly p...

The HeartMagic prospective observational study protocol – characterizing subtypes of heart failure with preserved ejection fraction

Heart failure (HF) is a life-threatening syndrome with significant morbidity and mortality. While ev...

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care

Real-world adoption of closed-loop insulin delivery systems (CLIDS) in type 1 diabetes remains low, ...

Scalable screening for emergency department missed opportunities for diagnosis using sequential eTriggers and large language models

Missed opportunities for diagnosis (MODs), sometimes termed diagnostic errors, are a major cause of ...

Development and Validation of a Machine Learning Model That Uses Voice to Predict Aspiration Risk

Aspiration causes or aggravates a variety of respiratory diseases. Subjective bedside evaluations of...

Privacy-preserving local language models accurately identify the presence and timing of self-harm in electronic mental health records

Self-harm, defined as intentional self-injury or self-poisoning irrespective of motivation, is the s...

Browse Categories