Latest AI and machine learning research in infection control for healthcare professionals.
UNLABELLED: an emerging fungal pathogen characterized by multidrug resistance and high-mortality no...
OBJECTIVES: The primary objective of this study was to identify clinical and socioeconomic predictor...
Traditionally, machine learning-based clinical prediction models have been trained and evaluated on ...
Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) o...
BACKGROUND AND AIM: Carbonated sugar-sweetened beverages (CSSB) intake has been increasingly linked ...
BACKGROUND: Studies of cardiovascular disease risk prediction by machine learning algorithms often d...
BACKGROUND: Hepatocellular carcinoma (HCC) is a prevalent tumor with high mortality rates. Computed ...
BACKGROUND: The presence of acute kidney injury (AKI) significantly increases in-hospital mortality ...
Antibiotic resistance in bacterial pathogens is a major threat to global health, exacerbated by the ...
BACKGROUND: Early identification of frail patients and early interventional treatment can minimize t...
Prophylactic dissection of paratracheal lymph nodes in clinically lymph node-negative (cN0) papillar...
BACKGROUND: The optimal number of lymph nodes to be dissected during lung cancer surgery to minimise...
BACKGROUND: International Classification of Diseases codes are widely used to describe diagnosis inf...
INTRODUCTION: Prolonged length of stay (LOS) following revision total hip arthroplasty (THA) can lea...
BACKGROUND: Every hospital manager aims to build harmonious, mutually beneficial, and steady-state d...
BACKGROUND: Mechanical ventilation (MV) is vital for critically ill ICU patients but carries signifi...
Antimicrobial resistance (AMR) is a major threat to public health worldwide. It is a promising way t...
Artificial intelligence technology has attained rapid development in recent years. The integration ...
The article examines the impact of artificial intelligence on scientific writing, with a particular ...
OBJECTIVE: To describe the results of the application of a Machine Learning (ML) model to predict in...
UNLABELLED: Errors in antibiotic prescriptions are frequent, often resulting from the inadequate cov...