Latest AI and machine learning research in critical care for healthcare professionals.
OBJECTIVES: To develop a machine learning-based software as a medical device to predict the enduranc...
Human Activity Recognition (HAR) plays a critical role in fields such as healthcare, sports, and hum...
OBJECTIVE: The study aimed to develop machine learning (ML) models to predict the mortality of patie...
PURPOSE: Respiratory motion during PET acquisition may produce lesion blurring. Ultra-fast 20-second...
Chest X-rays are an essential diagnostic tool for identifying chest disorders because of its high s...
The detection of small molecules is critical in many fields, but traditional electrochemical detecti...
Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimatio...
OBJECTIVE: This study aims to define the prioritisation of the needs for an intelligent robot's func...
OBJECTIVE: This study developed and validated a stacked ensemble machine learning model to predict t...
BACKGROUND: Agitation and sedation management is critical in intensive care as it affects patient sa...
The oviduct is the site of fertilization and preimplantation embryo development in mammals. Evidence...
BACKGROUND: Sepsis is a life-threatening disease causing millions of deaths every year. It has been ...
PURPOSE: Neonatal activity is an important physiological parameter in the neonatal intensive care un...
Accurate identification of molecular subtypes in breast cancer is critical for personalized treatmen...
Diabetic retinopathy (DR), the leading cause of vision loss among diabetic adults worldwide, undersc...
In recent years, the number of people suffering from depression has gradually increased, and early d...
Next Point-of-Interest (POI) recommendation is crucial in location-based applications, analyzing use...
Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...
This paper presents a novel approach for estimating Dissolved Organic Carbon (DOC) concentrations in...
This study aims to investigate the association between visit-to-visit blood pressure variability (VV...
BACKGROUND: Fusion of multi-modal data can improve the performance of deep learning models. However,...