Latest AI and machine learning research in critical care for healthcare professionals.
Chronic obstructive pulmonary disease (COPD) plays a heavy burden on individuals and the social heal...
Dynamic treatment regimes (DTRs) are critical to precision medicine, optimizing long-term outcomes...
Patient stratification identifying clinically meaningful subgroups is essential for advancing pers...
Early identification of high-risk ICU patients is crucial for directing limited medical resources....
With enhanced capabilities and widespread applications, Multimodal Large Language Models (MLLMs) a...
Unsigned distance fields (UDFs) are widely used in 3D deep learning due to their ability to repres...
Automated respiratory sound classification faces practical challenges from background noise and in...
Postoperative stroke remains a critical complication in elderly surgical intensive care unit (SICU...
Large Multimodal Models (LMMs) have demonstrated strong performance in various vision-language tas...
BACKGROUND: Cognitive impairment is common but frequently undiagnosed in the dialysis population. We...
Electronic Health Record (EHR) is the digital form of patient visits that contains various medical d...
Accurately diagnosing chronic kidney disease requires pathologists to assess the structure of multip...
OBJECTIVE: The aim of this study was to develop and externally validate a machine-learning model tha...
Real-world applications, particularly in the medical field, often handle irregular time signals (ITS...
Intracranial Hemorrhage (ICH) refers to cerebral bleeding resulting from ruptured blood vessels with...
This article summarizes existing ethical frameworks for healthcare artificial intelligence (AI) and ...
IMPORTANCE: Sepsis is a major cause of morbidity and mortality, with early intervention shown to imp...
OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...
OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical...
Brain Tumor Segmentation (BraTS) plays a critical role in clinical diagnosis, treatment planning, an...