Latest AI and machine learning research in intensivists for healthcare professionals.
PURPOSE OF REVIEW: This review aims to elucidate the complex interplay between cardiogenic shock (CS...
Bone marrow stromal cell antigen-1 (BST1) expression is elevated in a variety of human diseases, but...
Human pose estimation (HPE) has made significant progress with deep learning; however, it still face...
Depression is a serious mental health disorder with a potential hazard for individuals and society c...
Cervical cancer is one of the most aggressive malignant tumours of the reproductive system, posing a...
The accumulation of adversarial perturbations in the feature space makes it impossible for Deep Neur...
Functional brain network (FBN) derived from functional Magnetic Resonance Imaging (fMRI) has promisi...
To address the complex deformation of wellbores influenced by surrounding coal mining operations, th...
Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...
OBJECTIVE: The heterogeneous nature of sepsis renders determining its underlying causes difficult, w...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is associated with high mortality, with sepsi...
Intraplaque neovascularization (IPN) within carotid plaque is a crucial indicator of plaque vulnerab...
The dynamic propagation of epileptic discharges complicates Drug-Resistant Epilepsy (DRE) seizure de...
Breast cancer is the leading cancer threatening women's health. In recent years, deep neural network...
Sepsis is a life-threatening condition characterized by organ dysfunction resulting from the body's ...
The field of natural product (NPs) discovery has significantly evolved with the advent of multi-omic...
BACKGROUND: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive ca...
BACKGROUND: Early sepsis diagnosis is essential for initiating prompt treatment, preventing the prog...
Sepsis secondary to urinary tract infection after kidney stone surgery is associated with considera...
Brain tumor classification using Magnetic Resonance Imaging (MRI) images is an important and emergin...
Deep learning (DL) models have shown promise in predicting axillary lymph node (ALN) status. However...