Optical 3D surface scanning is used increasingly to assess spinal deformity of patients with scoliosis. However, approaches based on optical 3D scanning often underestimate the spinal deformity. To improve the accuracy of such estimates, deeper understanding is required of scoliosis and its effect on the back shape. We present the PCdare research software which registers […]

Large language models (LLMs) are used increasingly in medicine, but their decision-making in cardiovascular risk attribution remains underexplored. This pilot study examined how an LLM apportioned relative cardiovascular risk across different demographic and clinical domains. A structured prompt set across six domains was developed, across general cardiovascular risk, body mass index (BMI), diabetes, depression, smoking, […]

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IntroductionChronic heart failure (CHF) is associated with frequent hospitalizations, poor quality of life, and high healthcare costs. Despite therapeutic progress, early recognition of clinical deterioration remains difficult. The SMART-CARE study investigates whether artificial intelligence (AI)-enabled remote monitoring using CE-certified wearable devices can reduce hospital admissions and improve patient outcomes in CHF.MethodsSMART-CARE is a prospective, multicenter, […]

This article explores the largely uncharted intersection of neurotechnology and Internet governance on the international policy agenda. Neurotechnologies encompass a broad spectrum of functions and applications, from the direct recording or alteration of brain activity to the analysis of emotions and mental states through data collected from wearable devices, applications, and AI-based tools. Innovations such […]

BackgroundThe increasing complexity of patient care and workforce shortages in healthcare systems necessitate improved interprofessional interaction. Digital technologies offer promising solutions to facilitate such interaction across healthcare settings.ObjectivesThis scoping review aimed to identify, categorize, and assess digital technologies that support interprofessional interaction among healthcare professionals, using the NASSS framework to evaluate their implementation context and […]

IntroductionMental health NLP models are increasingly used to detect psychological states such as stress and depression from user-generated social media content. Although transformer based models such as MentalBERT achieve strong predictive performance, they are typically trained on sensitive data, raising concerns about memorization and unintended disclosure of personally identifiable information.MethodsWe propose DP-CARE, a simple yet […]

IntroductionOnline chat services have increased mental health care access for young people (12–25 years), yet their effectiveness remains unclear. This is partly due to a lack of consensus about primary client outcomes and clinician actions facilitating positive service outcomes. This study sought to identify (a) outcomes most important for young people accessing mental health support […]

ObjectiveMobile health technologies offer scalable opportunities to promote public health, including cognitive health, via education, engagement, and personalized health approach. This study describes the features of the Terrapino mobile application and its users to date, and provide initial evaluation of the ARA score.MethodsBetween December 2022 and December 2024, 8,395 users completed the Alzheimer’s Risk Assessment […]

The increasing digitalization of health systems is accelerating the transition towards a new era of data-driven, evidence-based care. This has profound implications for clinical practice, performance evaluation, policy making and biomedical research. At the heart of this transformation lies a healthcare data warehouse (DW), which functions as a critical infrastructure for aggregating, standardizing, and analyzing […]