Latest AI and machine learning research in critical care for healthcare professionals.
OBJECTIVES: Acute kidney injury (AKI) is common in intensive care unit (ICU) patients and is associa...
Respiratory and cardiovascular diseases represent a significant global health burden, underscoring t...
BACKGROUND: Radiology reports are essential in medical imaging, providing critical insights for diag...
Heart Failure is a prevalent disease with significant impacts on morbidity and mortality. Heart fail...
BACKGROUND: Early detection of malnutrition in critically ill patients is crucial for timely interve...
Brain tumors pose a critical health threat requiring timely and accurate classification for effectiv...
Artificial intelligence (AI) offers a solution to glaucoma care inequities driven by uneven resource...
BackgroundTraumatic rib fractures can lead to respiratory complications necessitating unplanned intu...
Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...
Multiplex PCR plays a critical role in diagnostics by enabling the detection of multiple targets in ...
Community-acquired pneumonia (CAP) is associated with high mortality, and accurate diagnosis and ris...
INTRODUCTION: Electrical Impedance Tomography (EIT) is widely used for bedside ventilation monitorin...
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this...
Reliable recognition of geochemical anomalies linked to ore deposits is one of the most significant ...
With the increasing depth of coal mining operations, traditional ventilation systems are becoming in...
Grassland sheep counting is essential for both animal husbandry and ecological balance. Accurate pop...
Heart failure (HF) is a severe cardiovascular disease often worsened by respiratory infections like ...
Medical image translation is of great value but is very difficult due to the requirement with style ...
This study aims to investigate the diagnostic value of integrating multi-parametric magnetic resonan...
To evaluate the performance of a multi-input deep learning (DL) model in detecting two common inheri...
In the field of intelligent transportation, accurate vehicle detection, tracking, and re-identificat...