Objectives Social determinants of health (SDOH) may improve Alzheimer’s disease (AD) risk prediction by capturing upstream contextual risk beyond routinely measured clinical variables. We aimed

Objectives Monitoring kidney function after acute kidney injury (AKI) hospitalisation is essential for identifying patients at risk of rapid progression. This study developed a machine

Software as a medical device (SaMD) is increasingly central to cancer care, yet current regulatory frameworks from the International Medical Device Regulators, the US Food

Objectives Machine learning (ML) has the potential to enhance surgical decision-making through real-time risk prediction and personalised care yet clinical implementation remains limited. This study

Objective Sepsis is a potentially fatal systemic response to infection, in which early clinical intervention is critical to reduce mortality. This study presents a hybrid

The rapid integration of large language models (LLMs) into clinical practice offers promising benefits, including assistance with documentation, decision support and patient communication. However, these