Latest AI and machine learning research in critical care for healthcare professionals.
Respiratory system cancer, encompassing lung, trachea and bronchus cancer, constitute a substantial ...
OBJECTIVE: To integrate an enhanced molecular diagnostic technique to develop and validate a machine...
Proteins play a vital role in various biological processes and achieve their functions through prote...
BACKGROUND: The occurrence of pressure injury in patients with diabetes during ICU hospitalization c...
Bloodstream infection (BSI) is associated with increased morbidity and mortality in the pediatric in...
Tuberculous pleural effusion poses a significant threat to human health due to its potential for sev...
Early and differential diagnosis of sepsis is essential to avoid unnecessary antibiotic use and furt...
BACKGROUND: Optimal timing for initiating maintenance dialysis in patients with chronic kidney disea...
Thoracic radiographs are an essential diagnostic tool in companion animal medicine and are frequentl...
With advances in our understanding regarding the neurochemical underpinnings of neurological and psy...
The Omicron SARS-CoV-2 variant continues to strain healthcare systems. Developing tools that facilit...
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC...
BACKGROUND: Respiratory diseases, including active tuberculosis (TB), asthma, and chronic obstructiv...
Combined pulmonary fibrosis and emphysema (CPFE) presents a unique challenge in respiratory disorder...
BACKGROUND: Timely detection of modifiable risk factors for postoperative pulmonary complications (P...
In the realm of long document classification (LDC), previous research has predominantly focused on m...
Artificial intelligence (AI) in healthcare is the ability of a computer to perform tasks typically a...
Electronic packaging is an essential branch of electronic engineering that aims to protect electroni...
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in...
The optimization of robot controller parameters is a crucial task for enhancing robot performance, y...
Regularized multi-task learning (RMTL) has shown good performance in tackling multi-task binary prob...