Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: Sepsis, a life-threatening condition driven by dysregulated host responses to infection,...
Sepsis is a highly variable condition, and tracking leukocyte patterns may offer insights for tailor...
Sleep posture, a vital aspect of sleep wellness, has become a crucial focus in sleep medicine. Studi...
Multi-view dimensionality reduction (MvDR) is a potent approach for addressing the high-dimensional ...
Neuroscience shows that the brain stimulated by external information can induce functional responses...
Despite advances in cancer diagnosis and treatment, the disease remains a major health challenge. In...
Ovarian cancer (OV) remains the most lethal gynecological malignancy. The aim of this study was to i...
BACKGROUND: The integration of data from diverse sources is not only crucial for addressing data sca...
Traditional crack detection methods initially relied on manual observation, followed by instrument-a...
Conventional manual or feature-based ECG analysis methods are limited by time inefficiencies and hum...
High-throughput multi-omic molecular profiling allows the probing of biological systems at unprecede...
U-Net-based network structures are widely used in medical image segmentation. However, effectively c...
Subtractive genomics is an adaptable bioinformatics technique that is used to identify potential the...
This scoping review systematically examines the emerging field of multimodal family engagement techn...
Advancements in large language models (LLMs) allow them to address diverse questions using human-lik...
Traumatic brain injury (TBI) is a significant global health issue with high morbidity and mortality ...
OBJECTIVE: Determine the efficacy of commonly used approaches to handling missing and/or imbalanced ...
BACKGROUND: Early identification and prevention of ventilator-associated pneumonia (VAP) in patients...
PURPOSE OF REVIEW: Accurate monitoring of respiratory drive and inspiratory effort is crucial for op...
This study presents a new design for a multi-degree-of-freedom underdriven mechanism. The aim is to ...
Automated medical image segmentation plays a crucial role in assisting doctors in diagnosing disease...