Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: The genetic determinants of peripartum depression (PPD) are not fully understood. Using ...
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...
Avoiding error in handling artifacts is crucial for achieving a high level of system reliability and...
BACKGROUND: Radiation-induced pneumonitis affects up to 33% of non-small cell lung cancer (NSCLC) pa...
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...
ST elevation myocardial infarction (STEMI), a subtype of acute coronary syndrome, is one of the lead...
As many countries face rapid population aging, the supply of manpower for caregiving falls far short...
Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due ...
BACKGROUND: Systemic inflammatory response syndrome (SIRS) is a serious postoperative complication a...
OBJECTIVES: This study aims to identify repeated previous shortcomings in medical imaging data colle...
BACKGROUND: Pulmonary hemorrhage (PH) in respiratory distress syndrome (RDS) in extremely preterm in...
Multi-ligand binding residues (MLBRs) are amino acids in protein sequences that interact with multip...
BACKGROUND: Blood-related infections are a significant concern in healthcare. They can lead to serio...
Lysine lactylation (Kla) is a post-translational modification (PTM) that holds significant importanc...
Emotion recognition enables machines to more acutely perceive and understand users' emotional states...
This study offers a comprehensive analysis of novel information for linear diophantine multi-fuzzy s...