Latest AI and machine learning research in critical care for healthcare professionals.
Over the past decades, massive Electronic Health Records (EHRs) have been accumulated in Intensive C...
BACKGROUND: Global pediatric healthcare reveals significant morbidity and mortality rates linked to ...
Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception an...
The COVID-19 pandemic has altered the circulation of non-SARS-CoV-2 respiratory viruses. In this stu...
Current research in nephrology is increasingly focused on elucidating the complexity inherent in tig...
Tissue hysteresivity is an important marker for determining the onset and progression of respiratory...
Viral infections significantly impact the immune system, and impact will persist until recovery. How...
Background : Extracorporeal membrane oxygenation (ECMO) is an effective technique for providing shor...
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a single-stranded RNA virus, which m...
Brachycephalic obstructive airway syndrome (BOAS) is a highly prevalent respiratory disease affectin...
Laryngeal hemiplegia (LH) is a major upper respiratory tract (URT) complication in racehorses. Endos...
BACKGROUND: Accurate patient outcome prediction in the intensive care unit (ICU) can potentially lea...
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. T...
PURPOSE: To evaluate the feasibility and utility of a deep learning (DL)-based reconstruction for im...
The advancement of intelligent and biodegradable respiratory protection equipment is pivotal in the ...
PROBLEM: Sepsis, a life-threatening condition, accounts for the deaths of millions of people worldwi...
End-stage kidney disease (ESKD) presents a significant public health challenge, with hemodialysis (H...
Novel artificial intelligence methods can aide in identification of cases of conditions using only u...
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory...
BACKGROUND: The prognostication of long-term functional outcomes remains challenging in patients wit...
PURPOSE: Respiratory motion (RM) significantly impacts image quality in thoracoabdominal PET/CT imag...