Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 274-294 of 4,771 articles
Machine learning-based risk prediction of 28-day mortality for sepsis patients with augmented renal clearance.

Augmented renal clearance (ARC) frequently occurs in critically ill septic patients and is known to ...

May 2026 42177280
Phenotype discovery and mortality prediction in sepsis-induced myocardial dysfunction: a deep learning and stratified modeling approach.

Sepsis-induced myocardial dysfunction (SIMD) is a common and heterogeneous complication in patients ...

May 2026 42177490
Interpretable machine learning to predict postoperative adverse outcomes in cardiac surgery.

BACKGROUND: Cardiac surgery is associated with significant mortality and complication risks. This st...

May 2026 42174418
Nomogram and machine learning models for predicting the risk of delirium in ICU patients with NSTEMI.

Delirium is a frequent and clinically consequential complication among patients admitted to the inte...

(1)
May 2026 42175512
Transcriptome and experimental verification identified candidate biomarkers related to mitochondrial metabolism in sepsis-associated encephalopathy.

BACKGROUND: Mitochondrial metabolism (MM) abnormalities have been implicated in multiple diseases, b...

(3)
May 2026 42172235
An explainable machine learning model for early pediatric sepsis prediction using cytokine and routine laboratory data.

BACKGROUND: Early sepsis diagnosis in children remains challenging due to nonspecific presentations....

May 2026 42174201
Using Machine Learning Methodology to Identify Predictors of Non-Response to MTSS-B: a Focus on Discipline Problems and Juvenile Justice Involvement.

Multi-tiered systems of support for behavior (MTSS-B) is a widely-used tiered preventive interventio...

May 2026 42168693
Understanding Blood-Injection-Injury Phobia: Do Not Miss the Point.

Needle and blood-injection-injury phobia is commonly encountered in the perioperative setting. It ca...

May 2026 42172480
Predicting Pediatric Mortality Across Five Intensive Care Units: Toward an Early Warning Using Machine Learning.

Despite the advances in critical care and innovations of medical technology, earlier identification ...

May 2026 42174888
Assessing AI-Based Decision Support in Early Sepsis and AKI Recognition.

Sepsis and acute kidney injury (AKI) remain among the most critical conditions in acute care, associ...

(2)
May 2026 42174890
Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches.

Embedding-based approaches integrate clinical notes into sepsis prediction models but produce uninte...

(1)
May 2026 42175001
Diagnostic Accuracy of Pressure Injury Risk Assessment Tools for Critically Ill Patients: A Systematic Review and Network Meta-Analysis.

AIMS AND OBJECTIVES: To systematically evaluate and compare the diagnostic accuracy of pressure inju...

May 2026 42169388
An Applied Framework of CLSM and Rheology for Controlling Foodborne Biofilms and Their Cleaning Agents and Disinfectants Resistance: A Review.

Biofilms formed by foodborne pathogens pose a significant threat to food safety, as they enhance mic...

May 2026 42166172
Machine learning modeling of vegetation and limited two dimensional urban morphology effects on land surface temperature in Osaka using open data.

Urban heat islands (UHI) significantly elevate land surface temperatures (LST) in high-density subtr...

May 2026 42168365
Innovations in pediatric imaging: a scoping review of the past decade with case illustrations.

BACKGROUND: Imaging plays a fundamental and increasing role in the diagnostic work-up of pediatric p...

(1)
May 2026 42168717
Clinical sentiment analysis of ICU notes: a dataset and a comparison of lexicon and clinical language model methods.

BACKGROUND: General-domain sentiment models have been found ineffective in distinguishing positivity...

May 2026 42151962
Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluation.

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) substantially increases mortality. The rec...

May 2026 42151593
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