BackgroundDigital mental health interventions (DMHIs), such as mindfulness-based apps, have become popular mental health resources and can be associated with benefits such as reducing stress, anxiety, and depression. However, there are limited data on the impact of DMHIs on improving mental health outside of controlled research settings, and what factors may facilitate or inhibit such […]
AI-driven personalised management platform enhances glycaemic control and remission rates in type 2 diabetes: a quasi-experimental prospective cohort study
Background and aimAlthough artificial intelligence (AI) technologies show promise in diabetes management, real-world evidence supporting AI-driven personalized care remains limited. We developed an AI-powered platform that generates dynamic self-management plans (DSMPs) and enables continuous, whole-process patient monitoring. This study aimed to evaluate its effectiveness in patients with type 2 diabetes mellitus (T2DM).DesignThis was a 12-month, […]
Privacy-preserving augmentation of structured telehealth activity data in diabetes patients using natural language processing
IntroductionDiabetes management increasingly relies on telehealth platforms in which patients generate structured and unstructured data. This unstructured data, in the form of free-text notes often contain additional information beyond the structured data. Extracting this information can enhance patient profiles and optimize treatment. In particular, the extraction of physical activity information from these notes is considered […]
Perspectives on healthcare artificial intelligence policy from health equity professionals: findings from an interview study
IntroductionWhile artificial intelligence tools (AI) can have positive impacts on healthcare, such as by expediting administrative tasks and aiding in clinical decision-making, recent studies have shown that AI-enabled systems can perpetuate biases against medically underserved populations which can exacerbate health disparities.MethodsThis qualitative interview study solicited the perspectives of professionals who work on issues related to […]
Using the behavior change wheel to develop text messages intervention (MedText-PCI) to promote medication adherence in patients after PCI
ObjectivesThis study aimed to use the Behaviour Change Wheel (BCW) framework to develop a theory-informed text message intervention (MedText-PCI) to improve medication adherence in patients after percutaneous coronary intervention (PCI).MethodsThis intervention development study was guided by the BCW framework. A behavioural diagnosis was first undertaken to identify barriers and facilitators to medication adherence, which were […]
A patient-aware benchmarking of CNN and transformer architectures for breast cancer histopathology classification
IntroductionBreast cancer diagnosis using histopathological imaging remains a critical yet challenging task, requiring automated systems that generalize reliably across patients and varying imaging conditions. While deep learning models have shown strong performance, many prior studies employ image-wise data splits that introduce patient-level data leakage, resulting in overly optimistic and potentially misleading evaluations. This study aims […]
Rationale and methods of the MOVI-HIIT! cluster-randomized controlled trial: an avatar-guided virtual platform for classroom activity breaks and its impact on cognition, adiposity, and fitness in preschoolers
IntroductionClassroom-based active breaks (ABs) have been shown to reduce sedentary time and increase physical activity in primary school children; however, evidence regarding their effects on body composition, physical fitness, cognition and other health-related outcomes remains limited in preschool children. This article describes the rationale and prespecified methods of the MOVI-HIIT study, a cluster-randomised controlled trial […]
Enhancing access and clinical triage in primary eye care through digital vision testing: validation of the SightConnect mobile application
BackgroundAssessment of vision is the vital first step of an eye exam for determining visual status. The availability of portable digital vision testing tools enables vision assessments in remote areas, at home and during teleconsultations.PurposeTo assess the accuracy and agreement for measuring vision using the SightConnect mobile application (SightConnect) compared to in-clinic standard vision testing […]
Biotech’s new company model; The super poop behind a startup launch; and more
Welcome back to another edition of Endpoints Weekly! Earnings season is in full swing, but we had plenty of original reporting and exclusives you won’t find anywhere else this week. Chief among them: Andrew Dunn’s …
Dataset documentation for responsible AI: analysis of suitability and usage for health datasets
npj Digital Medicine, Published online: 09 May 2026; doi:10.1038/s41746-026-02714-2 Dataset documentation for responsible AI: analysis of suitability and usage for health datasets
RESPECT: a conversational AI system for informed consent with accuracy, safety, and stakeholder-centered evaluation
npj Digital Medicine, Published online: 09 May 2026; doi:10.1038/s41746-026-02691-6 RESPECT: a conversational AI system for informed consent with accuracy, safety, and stakeholder-centered evaluation
SurvivEHR: a competing risks, time-to-event foundation model for multiple long-term conditions from primary care electronic health records
npj Digital Medicine, Published online: 09 May 2026; doi:10.1038/s41746-026-02709-z SurvivEHR: a competing risks, time-to-event foundation model for multiple long-term conditions from primary care electronic health records