Latest AI and machine learning research in risk management for healthcare professionals.
INTRODUCTION: Loneliness and social isolation are critical public health issues linked to significant adverse health outcomes and increased healthcare utilisation, including visits to the emergency department (ED). The ED often serves as a primary societal safety net, providing care for vulnerable populations who may be disproportionately affected by these conditions. In fact, loneliness and socia...
INTRODUCTION: Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality worldwide. Public health responses to CVD require complex, multisectoral strategies that combine population-wide preventive interventions with individualised approaches. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in this field, enabling more accurate diag...
BACKGROUNDS: Haematoma expansion (HE) is a significant factor in poor outcomes following intracerebral haemorrhage (ICH). Studies have suggested that ...
BACKGROUND: University students experience elevated psychological distress, with limited access to mental health services. While cognitive behavioral ...
Microsoft Windows remains the dominant desktop operating system and therefore a frequent focus of digital forensic and incident response investigation...
The dynamic environment of medicine, particularly in settings such as the Emergency Department, challenges physicians with an influx of patient data a...
BACKGROUND: Early-onset preeclampsia (eoPE), defined as preeclampsia occurring before 34 weeks of gestation, remains one of the leading causes of seve...
Targeting protein-protein interactions (PPIs) with small molecules is historically challenging due to shallow, solvent-exposed interfaces that lack cl...
BACKGROUND: The use of large language models (LLMs)-powered chatbots has reshaped how people seek information and advice, including for emotional and ...
OBJECTIVES: To systematically map the extent and nature of research on AI-enhanced point-of-care (POC) and rapid diagnostic technologies for infectiou...
The aim of this study is to comprehensively examine the evolution of artificial intelligence (AI), specifically large language models (LLMs), in the f...
OBJECTIVES: Medical artificial intelligence (AI) tools are increasingly used to manage the growing imaging workload in radiology. Although highly rele...
BACKGROUND: Intraoperative bleeding is a critical event that impacts surgical safety and patient outcomes. Machine learning (ML) has demonstrated pote...
INTRODUCTION: Adult-onset type 1 diabetes (T1D) is often misclassified as type 2 diabetes (T2D), resulting in delayed treatment, missed opportunities ...
INTRODUCTION: Lung cancer is commonly associated with smoking. However, if considered separately, lung cancer in never-smokers (LCINS) is the seventh ...
To investigate whether a CT pulmonary angiography (CTPA) protocol with reduced radiation dose and deep-learning based image reconstruction (DLIR) is n...
BACKGROUND: Mild cognitive impairment is widely recognized as a high-risk state associated with a progression to dementia. Although previous studies h...
BACKGROUND: Most people with dementia reside in the community and are cared for by family members. Family caregivers play an essential role in support...
BACKGROUND: Parents of children with pediatric orthopaedic conditions frequently have questions after their clinic visit, and a reliable postconsultat...
PURPOSE: To review recent advances in the diagnosis and management of acanthamoeba keratitis (AK), emphasizing clinically relevant developments from t...