Latest AI and machine learning research in intensivists for healthcare professionals.
Recent advancements in deep learning techniques have significantly improved multi-label chest X-ray ...
Multi-scenario and multi-task learning are crucial in industrial recommendation systems to deliver h...
BACKGROUND: New or worsening cognitive impairment or dementia is common in older adults following an...
Integrating diverse types of biological data is essential for a holistic understanding of cancer bio...
Insects' flight is imbued with endless mysteries, offering valuable inspiration to the flapping-wing...
Multi-hop path completion is a key part of temporal knowledge graph completion, which aims to infer ...
Stroke is a neurological complication that can occur in patients admitted to the intensive care unit...
BACKGROUND: Sepsis is a life-threatening condition that causes millions of deaths globally each year...
Cannabis sativa L., known for its medicinal and psychoactive properties, has recently experienced ra...
Abdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation o...
The increasing complexity of biological systems demands advanced analytical approaches to decode the...
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...
Drug discovery is a time-consuming and expensive process. Artificial intelligence (AI) methodologies...
RATIONALE AND OBJECTIVES: Hyperpolarized Xe MRI quantifies ventilation-defect-percent (VDP), the rat...
Using single-task deep learning methods to reconstruct Magnetic Resonance Imaging (MRI) data acquire...
OBJECTIVES: Cardiac surgery is associated with perioperative complications, some of which might be a...
Multimodal neuroimaging data, including magnetic resonance imaging (MRI) and positron emission tomog...
Sepsis, a life-threatening condition triggered by the body's response to infection, remains a signif...
Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due ...
Sepsis, characterized as a systemic inflammatory response triggered by the invasion of pathogens, re...