Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
In the field of healthcare, artificial intelligence (AI)-assisted solutions can be viewed with anxie...
Nephrology research plays an important role in advancing our understanding of kidney disease and imp...
Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...
Ensuring healthy aging and extending health span is critical, particularly in aging societies. This ...
Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML...
In this study, the predictive power of positive personality traits from the High Five Model (HFM) fo...
This review examines the prevention and management of postoperative delirium in cardiac surgery pati...
Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive ...
The aim of this review was to systematically review published studies on risk prediction models for ...
The preschool period is a crucial time for behavioural and social-emotional development and the cult...
The rapid evolution of generative artificial intelligence (genAI) has ushered in a new era of digita...
Timely recognition and initiation of basic life support (BLS) before emergency medical services arri...
Machine learning's (MLs) ability to capture intricate patterns makes it vital in neural engineering ...
INTRODUCTION: Accurate and timely discharge from the Post-Anesthesia Care Unit (PACU) is essential t...
Artificial intelligence (AI) provides an opportunity to streamline tasks within academic medicine. G...
BACKGROUND: Despite the rapid growth of research in artificial intelligence/machine learning (AI/ML)...
BACKGROUND: Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with va...
BACKGROUND AND AIMS: Clinical hepatology research often faces limited data availability, underrepres...
Posttraumatic stress disorder (PTSD) is a complex mental health condition triggered by exposure to t...
IMPORTANCE: The rise of patient messages sent to clinicians via a patient portal has directly led to...
AIM: To synthesise existing evidence concerning the application of AI methods in detecting depressio...