Hospital-Based Medicine

Intensivists

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

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Showing 127-147 of 4,771 articles
A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients.

OBJECTIVE: Atrial fibrillation (AF) is the most common cardiac arrhythmia experienced by intensive c...

(1)
Jul 2026 42475214
Wavelet coherence-aware multi-branch deep ensemble for fault identification in centrifugal pumps.

Reliable fault diagnosis of centrifugal pumps is challenging due to the nonstationary nature of vibr...

(1)
Jul 2026 42477013
Deep learning-based early warning of tailings storage facility instability using Sentinel-1 and Radarsat-2 InSAR calibrated with a geomechanical model.

This study advances the science and application of Interferometric Synthetic Aperture Radar (InSAR) ...

(1)
Jul 2026 42477362
Machine learning-based prediction of sepsis-induced myocardial injury: external validation and SHAP interpretation.

BACKGROUND: Sepsis-induced myocardial injury (SIMI) is a common complication in sepsis patients with...

(1)
Jul 2026 42477579
Explainable machine learning model for early prediction of ICU death in chronic heart failure with pulmonary infection.

OBJECTIVE: To develop and validate a machine learning model for predicting ICU mortality in CHF pati...

(1)
Jul 2026 42477630
Heart Failure sub-phenotyping and in-hospital and 28-day mortality prediction based on mean arterial pressure trajectory modeling.

BACKGROUND: Acute decompensated heart failure patients follow a broad range of clinical pathways dur...

(1)
Jul 2026 42494790
MAGMED: A clinically grounded LLM-guided synthetic augmentation framework for admission-time ICU mortality prediction.

BACKGROUND: Mortality risk prediction for elderly intensive care unit (ICU) patients with severe inf...

(1)
Jul 2026 42470893
Reinforcement learning for treatment decision-making in sepsis: a scoping review.

This scoping review summarizes the progress of reinforcement learning (RL) in clinical decision-maki...

(1)
Jul 2026 42471397
Machine learning on asynchronous clinical pages to predict clinical deterioration.

OBJECTIVES: Clinical deterioration in hospitalized patients is often preventable, but traditional ea...

(2)
Jul 2026 42491960
Mechanistic study on comorbidities of kidney stones and sepsis using transcriptome sequencing combined with single-cell spatial transcriptome sequencing.

Kidney stones and sepsis have a complex pathological association. Urinary obstruction and infection ...

(1)
Jul 2026 42469985
Development and validation of an interpretable machine learning model for predicting in-hospital mortality among critically ill patients with liver cirrhosis.

This study aimed to develop and validate an interpretable machine learning model for early predictio...

(4)
Jul 2026 42469399
Using interpretable machine learning to analyze the trajectory changes of serum albumin to predict the mortality rate of sepsis: a cohort study based on MIMIC-IV.

BACKGROUND: Although hypoalbuminemia at ICU admission is associated with increased in-hospital morta...

(4)
Jul 2026 42469645
An informed regression-based knowledge distillation framework for simultaneous prediction of physical and mechanical properties of thermoset epoxy polymers.

Epoxy polymers are widely used due to their multifunctional properties, however their complex 3D mol...

(1)
Jul 2026 42463710
Acute kidney injury severity in ICU patients: Developing and evaluating a data-driven analysis of clinical covariates using machine learning.

BACKGROUND: Acute kidney injury remains a major cause of morbidity and mortality in critically ill p...

(1)
Jul 2026 42461941
Simulator development using natural language: clinician-led innovation through artificial intelligence.

BACKGROUND: Healthcare simulation training faces significant barriers due to the "clinician-develope...

(4)
Jul 2026 42458589
Machine Learning-Based Early Risk Stratification for Sepsis-Related Troponin-Defined Myocardial Injury Using Routine Metabolic Indicators.

BACKGROUND: Early recognition of sepsis-related myocardial injury during sepsis remains difficult, p...

(4)
Jul 2026 42462621
Non-invasive arterial blood pressure waveform generation in critically ill patients: A sensor-based deep learning approach.

Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...

(2)
Jul 2026 42456268
Robust real-time urban drainage control under communication failures: an information-aware multi-policy control framework.

With climate change and urbanization, urban drainage systems face increasing pressure. By dynamicall...

(1)
Jul 2026 42476083
An interpretable machine learning model for early prediction of ESBL-producing bacteraemia in the emergency department.

Empirical antibiotic therapy in the emergency department (ED) is often initiated before susceptibili...

(4)
Jul 2026 42448820
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