Latest AI and machine learning research in risk management for healthcare professionals.
This systematic literature review analyzes machine learning (ML)-based techniques for resource manag...
BACKGROUND: Type 2 diabetes (T2D) is a leading cause of premature morbidity and mortality globally a...
The field of artificial intelligence (AI) has entered a new cycle of intense opportunity, fueled by ...
INTRODUCTION: Propofol is a widely used sedative-hypnotic agent for critically ill patients requirin...
BACKGROUND: In recent years, the intersection of natural language processing (NLP) and public health...
Cerebral/cortical visual impairment (CVI) is a leading cause of pediatric visual impairment in the U...
Drugs that target specific proteins often have off-target effects. We present a protocol using artif...
Urinalysis is one of the predominant tools for clinical testing owing to the abundant composition, s...
BACKGROUND: Artificial intelligence broadly refers to computer systems that simulate intelligent beh...
INTRODUCTION: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adul...
A significant area of computer science called artificial intelligence (AI) is successfully applied t...
Gram staining has been a frequently used staining protocol in microbiology. It is vulnerable to stai...
INTRODUCTION: With the development of technology, the use of machine learning (ML), a branch of comp...
INTRODUCTION: Heart failure (HF) is a complex clinical syndrome. Accurate risk stratification and ea...
The application of personalized medicine in patients with first-episode psychosis (FEP) requires too...
The increasing threat of antimicrobial resistance has prompted a need for more effective antimicrobi...
INTRODUCTION: The current understanding of colorectal carcinogenesis is based on the adenoma-carcino...
BACKGROUND: Exposure of critically ill patients to antibiotics lead to intestinal dysbiosis, which o...
In recent years, the deep learning (DL) technique has rapidly developed and shown great success in s...
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the l...
Artificial intelligence (AI) holds considerable promise for transforming clinical diagnostics. While...