ImportanceDigital health technology (DHT)-based chronic disease management platforms combined with smart hypertension models may improve patient self-management.ObjectiveTo compare the effect of Nantong University Affiliated Hospital’s DHT platform combined with an intelligent hypertension management model (providing education, follow-up, evaluation) vs. traditional offline management on patients’ systolic blood pressure (SBP).Design, setting, and participantsThis was a two-arm, parallel-group […]

IntroductionAgeing is accompanied by gradual biological and cognitive changes that increase vulnerability to chronic diseases and neurodegenerative conditions. As populations age, dementia prevalence continues to rise, highlighting the need for earlier detection and personalised prevention strategies. Against this background, the COMFORTage project, funded by Horizon Europe, brings together a multidisciplinary consortium across 12 countries to […]

BackgroundCare transitions, which involve the movement of patients between different care settings are critical moments in the care continuum but are often compromised by fragmented care delivery or poor information transfer among providers. To address this, Transitional Care (TC) programs were developed to address these challenges. Recently, Artificial Intelligence (AI) tools were introduced to support […]

Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal data, particularly digital pathology whole slide images (WSIs) and genomic sequencing, remains a significant challenge due to the intrinsic heterogeneity of these modalities and the need for scalable and interpretable frameworks. Existing diagnostic […]

ProblemQuality healthcare requires effective patient communication. However, lack of personnel and increasing demands on healthcare professionals (HCPs) create a need for innovative solutions that enhance accessibility and delivery of information to patients.GoalWe propose an innovative method to convey treatment and disease information using an Artificial Intelligence (AI)-driven social robotic physical interface. The aim of this […]

Amyotrophic lateral sclerosis (ALS) is a progressive and debilitating neurodegenerative disease. Digital biomarkers derived from smartphone data can enable scalable, low-cost, remote, unobtrusive, and quantitative measurement of physical activity (PA). These biomarkers offer opportunities for quasi-continuous assessment of PA levels, which may provide new methods for monitoring ALS disease progression in real time. In this […]

BackgroundArtificial intelligence technologies are being actively introduced in clinical practice. The most promising solutions are AI-assistants based on large language models (LLMs). Determining the feasibility of integrating such applications in clinical practice requires independent performance assessments. This study assessed accuracy of several multimodal LLMs in detecting pulmonary nodules on chest radiographs (CXR).MethodsThis study included 9 […]