Digital rehabilitation in a low-resource setting: lessons from building an integrated ecosystem in Burundi

Computational modelling for personalized transcatheter aortic valve replacement planning: a systematic review of complications and decision support

Patient-specific digital simulation is emerging as a tool to support personalized planning of transcatheter aortic valve replacement (TAVR), particularly as the procedure expands to younger,

Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school

IntroductionThe adoption of artificial intelligence (AI) in higher education presents opportunities and challenges for dental education. This study explores the use of Large Language Model

Feasibility of weekly patient-reported symptom monitoring using patients’ own smartphones in outpatient cancer chemotherapy: the SMART-PRO study

Electronic patient-reported outcome (ePRO) systems using the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) can improve symptom monitoring, but the

Voice disorders classification using machine learning: a scoping review

ObjectivesThis review aims to identify the key barriers to clinical application of Machine Learning (ML) in multi-class voice disorder classification.DesignScoping Review.MethodsA comprehensive scoping review of

Performance of large language models in delivering accurate and comprehensible patient information on heart failure and cardiomyopathy

BackgroundLarge language models (LLMs) are increasingly used by patients seeking cardiovascular health information through digital platforms. However, their accuracy and suitability for providing guidance on