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...
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 ...
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...
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 ...
Given the limited capacity to accurately determine the necessity for intubation in intensive care un...
This narrative review explores the implementation and impact of sepsis code protocols, an urgent int...
Multi-view clustering has become a rapidly growing field in machine learning and data mining areas b...