Latest AI and machine learning research in critical care for healthcare professionals.
Although advances in brain surgery techniques have led to fewer postoperative complications requir...
Mechanical Ventilation (MV) is a critical life-support intervention in intensive care units (ICUs)...
Hemodialysis patients who are on donor lists for kidney transplant may get misidentified, delaying...
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by combining complem...
Respiratory rate is a vital sign indicating various health conditions. Traditional contact-based m...
This study aims to understand the factors that resulted in under-five children's malnutrition from...
Large Language Models (LLM) are usually fine-tuned to participate in dyadic or two-party dialogues...
Evaluating the quality of synthesized images remains a significant challenge in the development of...
Cough is a protective reflex conveying information on the state of the respiratory system. Cough a...
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently compli...
BACKGROUND: Percutaneous puncture procedures, guided by image-guided robotic-assisted intervention (...
In this comprehensive review, we delve into the transformative role of artificial intelligence (AI) ...
Accurately predicting blood glucose (BG) levels of ICU patients is critical, as both hypoglycemia ...
During the early stages of respiratory virus outbreaks, such as severe acute respiratory syndrome ...
Automatic subphenotyping from electronic health records (EHRs)provides numerous opportunities to u...
Sepsis, a multifaceted syndrome driven by an imbalanced host response to infection, remains a signif...
Purpose To assess the prognostic value of a deep learning-based chest radiographic age (hereafter, C...
BACKGROUND: Hospital-acquired pressure injuries (HAPIs) have a major impact on patient outcomes in i...
Visual sound localization is a typical and challenging problem that predicts the location of objec...
Recent advancements in deep learning techniques have sparked performance boosts in various real-wo...