BackgroundDigital solutions may increase sustainability in healthcare for patients undergoing total hip or knee arthroplasty (THA, TKA). Little information exists on these patients’ digital health literacy levels.ObjectiveDescribe digital health literacy in patients following THA or TKA and examine the associations between sociodemographic factors and digital health literacy levels.MethodsIn a cross-sectional survey, a total of 800 […]

IntroductionSelf-referral to therapist-guided internet-delivered cognitive behavioral therapy (guided ICBT) is increasingly being implemented in specialized mental healthcare settings to reduce barriers to care. Little is known about the characteristics of patients who access treatment through this pathway compared to the traditional referral pathway from general practitioner (GP). This study aims to compare demographic characteristics, socioeconomic […]

IntroductionSingle-session online synchronous chat offers immediate, anonymous, single-session support for young people. However, the drop-in format attracts a diverse population with urgent and varied needs, creating challenges for evaluation. Standardized outcome measures may not capture short-term changes, and randomized controlled trials may be ethically inappropriate. These constraints point to the value of theory-based evaluation approaches […]

IntroductionSemantic heterogeneity across electronic health records (EHRs) limits scalable and privacy-preserving analytics in healthcare. While federated learning (FL) enables collaborative modeling without sharing raw data, it requires consistent, ontology-aligned representations. We present an ontology- and large language model (LLM)-based data harmonization approach to support secure, interoperable FL workflows.MethodsWe propose a general two-step pipeline for converting […]

BackgroundChatGPT-5, the latest multimodal large language model (LLM), has gained remarkable public attention for its ability to provide real-time and context-aware health information. However, its effectiveness in addressing sensitive urological topics such as vasectomy has not been systematically evaluated.ObjectiveThis study aimed to evaluate the accuracy, completeness and public suitability of ChatGPT-5’s responses to frequently asked […]

Musculoskeletal pain, especially low-back pain, is highly prevalent and often challenging to manage due to its multifactorial nature. Effective diagnosis and therapy require clinicians to integrate biopsychosocial information within an evidence-based clinical reasoning framework. Large language models that “think” before responding, so-called reasoning models, show promise to support such complex decision-making, yet their validity and […]

BackgroundRehabilitation faces a scale problem: millions who could benefit lack timely, effective services. Artificial intelligence (AI) and device-based modalities (e.g., robotics and VR) can extend reach and personalise care when validated, yet decision-makers lack a consolidated view of clinical usefulness, translation to practice, safety, equity, and cost.MethodsWe conducted an umbrella review of reviews using a […]

Multiple myeloma (MM) is an incurable hematological malignancy with significant clinical and biological heterogeneity. Despite development and refinement of numerous prognostic models for MM, challenges with accurate and reliable risk stratification remain, highlighted by unexpected, early relapse or progression of disease in patients termed functional high-risk (FHR). To improve decision-making and optimise outcome, there is […]