Latest AI and machine learning research in cultural competence for healthcare professionals.
BACKGROUND: Early identification of disability risk in community-dwelling older adults has emerged as a critical public health priority. An increasing number of studies have focused on developing predictive models for disability risk among community-dwelling older adults. The quality, risk of bias and applicability of these models remain unclear. OBJECTIVES: To systematically review and critically...
This study explores clinician leaders understanding and perception at site level towards machine learning (ML) decision support tools for paediatric related emergency care across the UK and Ireland, essential in guiding safe and effective frontline implementation. A cross-sectional online survey was distributed via Paediatric Emergency Research United Kingdom and Ireland (PERUKI) to the lead for d...
BACKGROUND: Carpal tunnel syndrome (CTS) is a prevalent neuropathy in hand surgery that significantly affects people's quality of life. Frequently, pa...
Recognition of protospacer adjacent motifs (PAMs) is crucial for target site recognition by CRISPR-Cas systems. In genome editing applications, the re...
Artificial intelligence (AI) is rapidly transforming digital, clinical, and cultural landscapes in ways that hold significant implications for body im...
In-person motor and cognitive assessments for Parkinson's disease(PD) face accessibility, scalability, and geographical diversity challenges. We aimed...
Rising patient volumes, the increasing use of computed tomography (CT) imaging in emergency departments and the resulting prolonged waiting times high...
Masked Autoencoders (MAEs) have grown increasingly prominent as a powerful self-supervised learning paradigm. They are capable of effectively leveragi...
AIM: To synthesize literature on algorithmic bias and transparency in artificial intelligence tools used in nursing education and identify common appl...
Colorectal cancer (CRC) remains a significant global health concern and is among the leading causes of cancer-related mortality. The disease often pro...
BACKGROUND: Recent advances have highlighted the potential of artificial intelligence (AI) systems to assist clinicians with administrative and clinic...
Artificial intelligence (AI) is increasingly used to support medical interpreting and public health communication, yet current systems introduce serio...
BACKGROUND: Prediction models for child maltreatment risk are increasingly used to support decisions in child protection, yet concerns remain about me...
With European Union initiatives mandating gender quotas on corporate boards, a key question arises: Is greater board gender diversity (BGD) associated...
BACKGROUND AND OBJECTIVES: Generative artificial intelligence, particularly large language models (LLMs), is increasingly used to navigate information...
The quantitative relationship between chemical composition, crystal structure and functional properties in materials with complex distortions has rema...
At the European Union level, approximately 60-70% of soil is in unhealthy or degraded conditions. One of the soil threats is the legacy of industrial ...
Urban trees are attracting increasing interest due to their contribution to mitigating some negative urbanization effects. Indeed, trees provide numer...
Existing graph knowledge distillation methods suffer from limited absorption of the teacher's "dark knowledge" because they rely on simple logit align...
INTRODUCTION: Fragment-based drug discovery (FBDD) employs the Grow-Merge-Link (GML) model to identify therapeutic compounds through a combination of ...