Latest AI and machine learning research in risk management for healthcare professionals.
BACKGROUND: Health technology assessment bodies increasingly emphasise the importance of preference-weighted health-related quality of life (HRQoL) evidence. However, such measures are often absent in clinical trial publications. It is not yet clear how frequently clinical trials have incorporated these measures over the past five decades, how the use of preference-weighted HRQoL instruments has e...
INTRODUCTION: Knee osteoarthritis is a leading cause of pain and disability and frequently results in total knee arthroplasty (TKA). Decisions about surgery and postoperative management rely largely on subjective pain scales and patient-reported outcome measures (PROMs), and 10-15% of patients remain dissatisfied after TKA despite technically successful surgery. Evidence suggests that pain is part...
Oral cancer is a highly aggressive disease that is often detected too late, resulting in poor survival outcomes. Screening methods are limited by subj...
Accurate prediction of water-quality indicators remains challenging in small tabular environmental datasets because physicochemical variables can exhi...
INTRODUCTION: Emergency department overcrowding remains a critical global challenge, and artificial intelligence-driven clinical decision support syst...
BACKGROUND: This study focuses on evaluating how SubtlePET™, an artificial intelligence (AI)-based image enhancement algorithm, produced PET/CT images...
BACKGROUND: Preeclampsia with severe features is a major contributor to maternal and perinatal morbidity and mortality, particularly in low- and middl...
OBJECTIVES: To investigate the views and experiences of principal investigators (PIs) based in sub-Saharan Africa (SSA) regarding publication bias of ...
INTRODUCTION: The integration of artificial intelligence (AI) into addiction research has expanded rapidly, yet it remains unclear how psychosocial, b...
BACKGROUND: Artificial intelligence (AI) has the potential to improve the efficiency of evidence synthesis and reduce human error. However, robust met...
INTRODUCTION: Early childhood development (ECD) interventions support children aged 0-5 years, including those typically developing, at risk of delays...
INTRODUCTION: Any tool that can reduce the administrative burden on healthcare providers while preserving safe, accountable and high-quality medical d...
BACKGROUND: Digital surgery technologies, including robotic systems, artificial intelligence (AI) algorithms, augmented reality platforms, and advance...
BACKGROUND: Polygenic predictors can enhance screening for metabolism-related traits such as body mass index (BMI) and type 2 diabetes (T2D). However,...
BACKGROUND: Deep demographic ageing is triggering a twin crisis in healthcare: a rising prevalence of multimorbidity among older adults and a severe g...
BACKGROUND: Psoriatic arthritis is a chronic inflammatory arthropathy that affects up to 22% of individuals with psoriasis. Identifying patients at hi...
INTRODUCTION: The global prevalence of heart failure continues to increase, particularly in ageing populations. Many older patients receiving home-bas...
Degradation in lithium-ion batteries negatively affects the reliability, safety, and cost-effectiveness of modern energy storage systems, making accur...
Credit card fraud detection is a difficult applied machine learning problem. It combines extreme class imbalance, temporal non-stationarity, and a sha...
OBJECTIVES: The application of large language models (LLMs) to systematic review tasks is rapidly expanding, yet the transparency and methodological r...