Latest AI and machine learning research in risk management for healthcare professionals.
The number of prediction models proposed in the biomedical literature has been growing year on year. In the last few years there has been an increasing attention to the changes occurring in the prediction modeling landscape. It is suggested that machine learning techniques are becoming more popular to develop prediction models to exploit complex data structures, higher-dimensional predictor spaces...
BACKGROUND: Children's ability to regulate their emotions is a critical protective factor for early mental health and development and is strongly influenced by parenting. Parenting programs can improve these outcomes for children, however, most families, particularly those from diverse or disadvantaged backgrounds, never receive evidence-based support. There is a pressing need for parenting progra...
We have developed a method for generating human telencephalic organoids from stem cell-derived isolated single neural rosettes. The use of single neur...
Randomized controlled trials (RCTs) have demonstrated benefits of marine omega-3 polyunsaturated fatty acids (omega-3 FA) supplementation for the prev...
As artificial intelligence (AI) becomes increasingly prevalent within interventional radiology (IR) research and clinical practice, steps must be take...
Evidence-based Practice (EBP) is a vital principle, with its origins in the 1970s, that has transformed the disciplines of medicine and healthcare. Th...
INTRODUCTION: The WHO's Integrated Management of Childhood Illness (IMCI) in young infants <2 months of age includes the identification and management...
Shortwave communication plays a vital role in disaster relief and remote communications due to its long-range capabilities and resilience to interfere...
This research explores the crucial challenges influencing the adoption of Artificial Intelligence (AI) in the legal domain, a field facing escalating ...
Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing unique challenges including escalating imaging volumes...
INTRODUCTION: Depression and anxiety are highly prevalent mental health conditions that significantly affect quality of life and cause societal burden...
Artificial intelligence (AI) is increasingly influencing dental practice, offering advancements in diagnostics, treatment planning, and patient manage...
INTRODUCTION: Psychosis, characterised by chronic symptoms often emerging in youth, imposes a substantial burden on individuals and healthcare systems...
BACKGROUND: The number of patients referred for and requiring a transthoracic echocardiogram (TTE) has increased over the years resulting in more card...
Radiology research at Canadian institutions is advancing patient care through multidisciplinary collaboration, technological innovation, and quality i...
OBJECTIVE: To investigate the feasibility of accelerated MRI with artificial intelligence-assisted compressed sensing (ACS) technique in the temporoma...
Rationale Integrating artificial intelligence (AI) into education has introduced transformative possibilities, particularly through adaptive learning ...
Nephrology research plays an important role in advancing our understanding of kidney disease and improving patient outcomes. However, the complexity o...
INTRODUCTION: Congenital heart defect (CHD) is a significant, rapidly emerging global problem in child health and a leading cause of neonatal and chil...
BACKGROUND: Inappropriate fluid administration can impact patient outcome. Intraoperative advanced haemodynamic monitoring coupled with a treatment pr...