Latest AI and machine learning research in intensivists for healthcare professionals.
High-quality standard views in two-dimensional echocardiography are essential for accurate cardiovas...
INTRODUCTION: This study aims to construct a mortality prediction model for patients with non-varice...
BACKGROUND: Acute heart failure (AHF) in the intensive care unit (ICU) is characterized by its criti...
Over the past decades, massive Electronic Health Records (EHRs) have been accumulated in Intensive C...
Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception an...
PURPOSE/OBJECTIVES: A precordial stethoscope (PS) is essential for ensuring clear breath sounds duri...
BACKGROUND: Accurate patient outcome prediction in the intensive care unit (ICU) can potentially lea...
Novel artificial intelligence methods can aide in identification of cases of conditions using only u...
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory...
Machine learning (ML) tools for acute respiratory distress syndrome (ARDS) detection and prediction ...
BACKGROUND: There is a growing demand for advanced methods to improve the understanding and predicti...
Acute respiratory distress syndrome (ARDS) is a devastating critical care syndrome with significant ...
BACKGROUND: With the development of artificial intelligence, the application of machine learning to ...
BACKGROUND: Atrial fibrillation (AF) is common among intensive care unit (ICU) patients and signific...
OBJECTIVE: It is difficult to predict which mechanically ventilated patients will ultimately require...
, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompt...
Extensive research has been devoted to predicting ICU mortality, to assist clinical teams managing c...
BACKGROUND: Timely diagnosis of neonatal sepsis is challenging. We aimed to systematically evaluate ...
Host defense peptide (HDP)-mimicking polymers are promising therapeutic alternatives to antibiotics ...
With neuropsychiatric complications recognized among COVID-19 patients translating into significant ...
INTRODUCTION: Various Machine Learning (ML) models have been used to predict sepsis-associated morta...