Latest AI and machine learning research in risk management for healthcare professionals.
PURPOSE: We aim to apply the deep learning (DL) technique to predict the gold-standard invasive coro...
The emergence of Artificial Superintelligence (ASI) in healthcare presents unprecedented opportuniti...
BACKGROUND: The TAILORED-AF randomized trial demonstrated that artificial intelligence-guided ablati...
Fine-tuned REINVENT generative model integrated with structure- and ligand-based computational appro...
INTRODUCTION: Predictive models play a critical role in enhancing medication safety in clinical prac...
Dynamic contrast-enhanced MRI (DCE-MRI) is common technique for assessing tissue perfusion and perme...
Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy, posing risks...
Background: Examination protocoling is a resource-intensive task. Various artificial intelligence (A...
AIMS: Acute myocardial infarction (AMI) remains a leading global cause of mortality, where timely di...
BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensiti...
OBJECTIVE: To assess whether accelerated knee MRI protocols using simultaneous multi-slice (SMS) and...
This paper investigates the privacy-preserving protocol and reinforcement learning-based funnel cont...
AIM: To examine the perinatal experiences of at-risk mothers and their engagement with mobile-health...
OBJECTIVE: To evaluate the clinical utility of machine learning algorithms (MLAs) in diagnosing extr...
BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to pr...
BACKGROUND: Early detection of cancer reduces mortality and morbidity, but conventional screening me...
BACKGROUND: To develop an artificial intelligence-based predictive model using ankle-brachial index ...
PURPOSE: This systematic review evaluates the effectiveness of artificial intelligence (AI) models i...
AIMS: To (1) analyse managers' experiences with handling patient safety incident reports in an incid...
Artificial intelligence (AI) has regained strong momentum in medicine, driven by unprecedented compu...
The integration of artificial intelligence (AI) and machine learning (ML) into laboratory medicine s...