Latest AI and machine learning research in intensivists for healthcare professionals.
The detection of infrared small targets is getting more and more attention, and has a wider applicat...
BACKGROUND: Acinetobacter baumanni infection is a leading cause of morbidity and mortality in the In...
Multi-modality imaging is widely used in clinical practice and biomedical research to gain a compreh...
Diagnostic errors pose a significant public health challenge, affecting nearly 800,000 Americans ann...
Purpose: This study aims to establish and validate machine learning-based models to predict death in...
Array-based sensing technology holds immense potential for discerning the intricacies of biological ...
Multi-scenario and multi-task learning are crucial in industrial recommendation systems to deliver h...
Stroke is a neurological complication that can occur in patients admitted to the intensive care unit...
PURPOSE: Appropriate opioid management is crucial to reduce opioid overdose risk for ICU surgical pa...
BACKGROUND: The burden of atrial fibrillation (AF) in the intensive care unit (ICU) remains heavy. G...
RATIONALE AND OBJECTIVES: Hyperpolarized Xe MRI quantifies ventilation-defect-percent (VDP), the rat...
OBJECTIVES: Cardiac surgery is associated with perioperative complications, some of which might be a...
BACKGROUND: Systemic inflammatory response syndrome (SIRS) is a serious postoperative complication a...
BACKGROUND: Blood-related infections are a significant concern in healthcare. They can lead to serio...
This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients i...
Accurate identification of drug-target interactions (DTIs) plays a crucial role in drug discovery. C...
This study focuses on modelling sustainable concretes' mechanical and environmental properties with ...
Accurate estimation of coastal and in-land water quality parameters is important for managing water ...
OBJECTIVE: The objective was to establish a machine learning-based model for predicting the occurren...
Positron emission tomography (PET) utilizes radiotracers like [F]fluorodeoxyglucose (FDG) to measure...
BACKGROUND: People with traumatic brain injury (TBI) are at high risk for infection and sepsis. The ...