Critical Care

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

7,402 articles
Stay Ahead - Weekly Critical Care research updates
Subscribe
Browse Specialties
Subcategories: Sepsis
Showing 295-315 of 7,402 articles
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs.

Distinguishing high-risk intraductal papillary mucinous neoplasms (IPMNs), pancreatic cysts requirin...

Multi-spatial-attention U-Net: a novel framework for automated gallbladder segmentation on CT images.

OBJECTIVE: This study aimed to construct a novel model, Multi-Spatial Attention U-Net (MSAU-Net) by ...

Multi-Omics-Based Characterization of DNA Methylation Episignatures for Papillary Thyroid Cancer in a Chinese Population.

Thyroid cancer is the most common endocrine malignancy, with papillary thyroid cancer (PTC) account...

AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting.

INTRODUCTION: Time series analysis plays a critical role in various applications, including sensor d...

Cell death-related signature genes: risk-predictive biomarkers and potential therapeutic targets in severe sepsis.

Sepsis is a systemic inflammatory response syndrome that predisposes to severe lung infections (SeAL...

Discovery of CYP1A1 Inhibitors for Host-Directed Therapy against Sepsis.

Bacterial sepsis remains a leading cause of death globally, exacerbated by the rise of multidrug res...

Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care.

Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, a...

Gut microbiota, metabolites, and pulmonary hypertension: Mutual regulation and potential therapies.

Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pres...

A cell-interacting and multi-correcting method for automatic circulating tumor cells detection.

Sensitive detection of circulating tumor cells (CTCs) from peripheral blood can serve as an effectiv...

Hybrid attention-based deep learning for multi-label ophthalmic disease detection on fundus images.

BACKGROUND: Ophthalmic diseases significantly impact vision and quality of life. Early diagnosis usi...

The use of imaging in the diagnosis and treatment of thromboembolic pulmonary hypertension.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...

Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. J...

Multi-Scale Vision Transformer with Optimized Feature Fusion for Mammographic Breast Cancer Classification.

: Breast cancer remains one of the leading causes of mortality among women worldwide, highlighting t...

Role of multi-omics in aquaculture genetics and breeding: current status and future perspective.

Aquaculture, a fast-growing sector, plays an important role in the supply of nutrient-rich food for ...

Leveraging computer vision systems for monitoring hutch-housed dairy calves.

Computer vision systems (CVS) have emerged as a powerful technology for animal monitoring. However, ...

Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.

OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. Ho...

Advanced predictive modeling for enhanced mortality prediction in ICU stroke patients using clinical data.

Background Stroke is second-leading cause of disability and death among adults. Approximately 17 mil...

MOAL: Multi-view Out-of-distribution Awareness Learning.

Multi-view learning integrates data from multiple sources to enhance task performance by improving d...

AI-assisted multi-OMICS analysis reveals new markers for the prediction of AD.

Alzheimer's Disease (AD) is the most prevalent neurodegenerative disorder, characterized by progress...

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

Browse Specialties