Latest AI and machine learning research in intensivists for healthcare professionals.
State-of-the-art research of traditional computer vision is increasingly leveraged in the surgical d...
BackgroundIntensive care unit (ICU) hospitalizations of very old patients with acute respiratory inf...
Whole slide images (WSI), due to their gigabyte-scale size and ultra-high resolution, play a signifi...
BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host r...
Sepsis is a life-threatening disease caused by the dysregulation of the immune response. It is impor...
OBJECTIVES: Achieving efficient analysis of multiple pathological indicators has great significance ...
The prediction of Intensive Care Unit (ICU) readmission has become a crucial area of research due to...
Background: In the field of bibliometrics, although some studies have conducted literature reviews a...
Most conventional crash severity models attempt to achieve a low classification error rate, implicit...
Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with m...
Effective visual representation is crucial for image captioning task. Among the existing methods, th...
Benefiting from the booming development of Transformer methods, the performance of lane detection ta...
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplet...
Land use and land cover (LULC) classification is a popular research area in remote sensing. The info...
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limite...
Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged cours...
Heterotopic ossification (HO) is a pathological process where bone forms in extraskeletal tissues, o...
Multi-task learning (MTL) has demonstrated significant advantages in the field of physiological sign...
The integration of artificial intelligence (AI) and machine learning-enabled medical technologies in...
Characterizing cancer presents a delicate challenge as it involves deciphering complex biological in...
Through the analysis of multidimensional vibration signals of machinery, existing faults in mechanic...