Latest AI and machine learning research in risk management for healthcare professionals.
INTRODUCTION: The liberal use of blood cultures in emergency departments (EDs) leads to low yields a...
To perform a systematic review on artificial intelligence (AI) performances to detect urinary stone...
In the last few decades, there has been an ongoing transformation of our healthcare system with larg...
INTRODUCTION: Radiologist shortages threaten the sustainability of breast cancer screening programme...
BACKGROUND: Diabetic retinopathy (DR) is one of the most common complications of diabetes mellitus. ...
Healthcare employees are experiencing poor wellbeing at an increasing rate. The healthcare workforce...
OBJECTIVES: To establish and evaluate an ultra-fast MRI screening protocol for prostate cancer (PCa)...
Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, severa...
In this retrospective study, we aimed to assess the objective and subjective image quality of differ...
INTRODUCTION: Asthma attacks are a leading cause of morbidity and mortality but are preventable in m...
BACKGROUND: Multimorbidity, defined as the coexistence of multiple chronic conditions, poses signifi...
BACKGROUND: Prediabetes is a highly prevalent condition that heralds an increased risk of progressio...
BACKGROUND: There is an urgent need worldwide for qualified health professionals. High attrition rat...
Integrating artificial intelligence into inflammatory bowel disease (IBD) has the potential to revol...
The advent of single-cell multi-omics sequencing technology makes it possible for researchers to lev...
To assess the impact of low-dose contrast media (CM) injection protocol with deep learning image rec...
INTRODUCTION: Endometriosis is a chronic disease that affects up to 190 million women and those assi...
INTRODUCTION: Emerging developments in applications of artificial intelligence (AI) in healthcare of...
To supply chemical structures of polymers for machine learning applications, decoding is necessary. ...
The number of papers presenting machine learning (ML) models that are being submitted to and publish...
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of the...