Background Artificial intelligence (AI) has increasingly been applied to medical imaging, yet its role in lumbar spine radiography, particularly in low-resource settings, remains underexplored. Objective

Objectives To assess the performance of the Glasgow admission prediction score (GAPS) and ambulatory score (AmbS) for identifying emergency department (ED) attendances suitable for medical

Objectives To appraise and synthesise the literature on patient and clinician experiences with hospital-based virtual care services. Methods We searched Medline, Embase, CINAHL and PsycINFO

Objectives To evaluate the feasibility, usability and validity of a co-designed digital questionnaire for early complexity screening in elective surgery patients. Methods A mixed-methods feasibility

The conventional medical approach of treating symptoms as they appear with restricted screening often limits intervention to slowing disease progression rather than fully reversing it.

Objective To examine UK general practitioners’ (GPs) adoption of ambient artificial intelligence (AI) scribes and to assess user-reported error rates, workflow impact and consent practices