AIMC Journal:
Intensive care medicine experimental
Showing 11 to 18 of 18 articles
The use of logic for machine learning models in sepsis.
Intensive care medicine experimental
Jun 3, 2026
Enhancing large language model clinical support information with machine learning risk and explainability: a feasibility study.
Intensive care medicine experimental
Apr 21, 2026
BACKGROUND: Current machine learning (ML) prediction models offer limited guidance for individualized actionable management. Large language models (LLMs) can transform ML model-predicted risk estimates with Shapley Additive Explanations (SHAP) into c...
Automatic monitoring of single-wall MAPSE by transesophageal echocardiography for tracking global left ventricular function irrespective of regional hypokinesia: a secondary analysis.
Intensive care medicine experimental
Apr 14, 2026
BACKGROUND: Measuring mitral annular plane systolic excursion (MAPSE) serially in a single wall may be an effective method for monitoring global left ventricular (LV) function, especially when automated with a novel deep learning method using transes...
Characterizing heterogeneity and subphenotyping acute respiratory distress syndrome with computed tomography.
Intensive care medicine experimental
Mar 26, 2026
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome rather than a single disease. Patients who meet the same diagnostic criteria may differ in lung morphology, mechanical properties, biological injury, and clinical course....
Prediction-guided clustering for sepsis phenotyping: a retrospective cohort analysis.
Intensive care medicine experimental
Mar 18, 2026
BACKGROUND: Sepsis is a major cause of morbidity and mortality worldwide, with its heterogeneous and dynamically evolving clinical presentation complicating diagnosis, treatment, and prognosis. The identification of clinically meaningful sub-phenotyp...
ARIMA-based forecasting of cerebral physiologic signals in acute traumatic brain injury: a CAnadian high-resolution TBI (CAHR-TBI) cohort study.
Intensive care medicine experimental
Mar 2, 2026
BACKGROUND: Traumatic brain injury (TBI) remains a major global health issue, with limited progress in reducing morbidity and mortality for TBI patients in need of sedation and intensive care. This has led to increased focus on the mechanisms of seco...
Machine learning-driven prediction model for successful weaning of patients from mechanical ventilation in ICU.
Intensive care medicine experimental
Jan 21, 2026
BACKGROUND: Mechanical ventilation is a critical life support technology in the intensive care unit. However, the weaning process remains complex, making the optimal timing for liberation from ventilation challenging to ascertain and imposing a consi...
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