Critical Care

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

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Showing 316-336 of 5,053 articles
Feasibility of Tailoring Artificial Intelligence-Assisted Ambient Scribes for Intensive Care Unit Rounds: Algorithm Development and Validation.

BACKGROUND: The increasing documentation burden on physicians is a significant contributor to burnou...

(1)
Jul 2026 42412948
An explainable machine learning model for predicting high phosphorus risk in patients on maintenance hemodialysis: a multicenter retrospective study.

BACKGROUND: Hyperphosphatemia is a common complication in hemodialysis and serves as a key marker fo...

(2)
Jul 2026 42410613
Improving Delirium Prediction in Surgery: Enhanced Machine Learning Models vs. Traditional Risk Scores.

BACKGROUND: Postoperative delirium (POD) is a prevalent complication among older surgical patients; ...

(1)
Jul 2026 42411236
Forecasting the Dialysis Burden in Japan: Validation-Based Projections of Prevalence and Incidence Through 2050.

BACKGROUND: Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging ...

(1)
Jul 2026 42409616
A multi-fidelity tabular prior-data fitted network model for accurate prediction and uncertainty quantification.

Accurate prediction of unknown labels from feature-label datasets using machine learning is critical...

Jul 2026 42401580
Association between glucose-to-platelet ratio and all-cause mortality in critically ill patients with acute myocardial infarction: a retrospective cohort study.

BACKGROUND: Acute myocardial infarction (AMI) in critically ill patients is associated with high mor...

(2)
Jul 2026 42401828
Leveraging data-driven risk-adapted surveillance strategies after disease progression in locally advanced rectal cancer.

BACKGROUND: Post-progression survival (PPS) is a critical endpoint in oncology, yet predictors of PP...

(1)
Jul 2026 42393631
Automated identification of clinically important Candida yeast species for microscopic images using self-supervised learning.

Opportunistic fungal infections are an escalating global challenge, impacting over a billion people ...

(1)
Jul 2026 42399363
Machine Learning Prediction of Pediatric In-Hospital Survival Before Extracorporeal Membrane Oxygenation Cannulation.

Identifying suitable candidates for extracorporeal membrane oxygenation (ECMO) is still challenging....

Jul 2026 42391040
Artificial intelligence assisted telemedicine, clinical decision support for anesthesia and critical care in intensive care units: a scoping review.

BACKGROUND: Artificial intelligence (AI) has been increasingly used in care delivery in intensive ca...

(2)
Jul 2026 42393540
Clinician Perspectives on Ambient AI Scribes in the Intensive Care Unit: Qualitative Interview Study.

BACKGROUND: In intensive care unit (ICU) settings, structured team-based communication, such as mult...

Jul 2026 42390378
A Validated, Modifiable Proteomic Score from the EXSCEL Trial Predicts Cardiovascular Events in Diabetes.

Adults with type 2 diabetes mellitus (T2DM) are at increased risk for stroke, myocardial infarction,...

Jul 2026 42390946
Exploring Ambient Artificial Intelligence to Enhance Learning and Feedback During Operating Room-to-Intensive Care Unit Handoffs: Co-Design and Simulation Study.

BACKGROUND: Operating room (OR)-to-intensive care unit (ICU) handoffs are among the most complex and...

(1)
Jul 2026 42391101
Artificial Intelligence in Hemodialysis: Current Clinical Applications and Future Perspectives.

INTRODUCTION: Timely adjustment of intervention strategies based on multidimensional hemodialysis da...

(7)
Jul 2026 42393005
Lung Recruitment Maneuvers During Invasive Mechanical Ventilation: Single-Center Retrospective PICU Cohort Study, 2016-2023.

OBJECTIVES: Recruitment maneuvers (RMs) during invasive mechanical ventilation (IMV) for acute hypox...

Jul 2026 42383786
Lung ultrasound feature tracking to quantify regional lung strain in mechanically ventilated pigs.

BACKGROUND: In patients requiring respiratory support, clinicians rely on physical exam, radiologic,...

Jul 2026 42387548
Developing a machine learning model to predict renal function decline within three years using one-year longitudinal data in patients with type 2 diabetes.

AIMS: The increasing prevalence of type 2 diabetes mellitus (T2DM) has led to an increase in diabeti...

(4)
Jul 2026 42381535
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