IntroductionModern personal technologies, such as smartphone apps with artificial intelligence (AI) capabilities, have a significant potential for helping people make necessary changes in their behavior (e.g., adopt healthier lifestyles). Current research highlights that realizing this potential through the design and use of personal technologies calls for a critical reappraisal of the role of healthcare interventions […]
A data-centric perspective on designing AI foundation models for healthcare
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Navigating ethical, regulatory, and implementation barriers to AI in healthcare: pathways toward inclusive digital health in low-resource settings—a scoping review
BackgroundArtificial intelligence (AI) has the potential to revolutionize healthcare delivery in low- and middle-income countries (LMICs), yet its rapid adoption raises complex ethical, regulatory, and implementation challenges. This review investigates these barriers and identifies emerging strategies that support equitable and inclusive AI deployment in resource-limited settings.MethodsFollowing the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines, a […]
Co-designing animated videos to explain large language models and their use in healthcare and research
IntroductionThe increasing development of large language models (LLM) in healthcare research is taking place without patient and public involvement and engagement (PPIE). Part of the challenge is the lack of accessible educational resources to promote literacy around LLMs.MethodsWe employed a co-design approach with 6 PPIE contributors from Tower Hamlets, London to develop educational animations about […]
Exploring plausible futures for artificial intelligence in rural healthcare: insights from participatory foresight methods
BackgroundArtificial intelligence (AI) has the potential to transform rural healthcare delivery through automated monitoring, personalised care, and virtual support. Yet the future pathways for AI in rural contexts remain underexplored. Most AI applications are developed in urban-centric environments with limited consideration for infrastructure constraints, workforce realities, and sociocultural dynamics that shape rural healthcare delivery.MethodsThis study […]
A framework for generative AI-driven extraction of clinical user needs in pediatric device development
IntroductionGenerative artificial intelligence (GenAI) is becoming an important tool in medical product development. A main component of this development includes annotating, summarizing, and extracting key insights from expert interviews to identify clinical pain points and curate device requirements. These tasks are time- and labor-intensive, resulting in increased administrative burden and reduced efficiency. As a result, […]
Artificial intelligence approaches to predicting treatment non-adherence in chronic diseases: a narrative review
Medication non-adherence affects 40%–50% of chronic disease patients globally, causing preventable morbidity and substantial healthcare costs. Traditional adherence monitoring approaches are retrospective and reactive, limiting timely intervention. Artificial intelligence and machine learning offer novel approaches for prospective adherence risk prediction, enabling anticipatory, resource-efficient interventions. This narrative review synthesizes current evidence on AI-based non-adherence prediction across […]
ArcMAP – ML assisted medical concept mapping to accelerate NHS data standardization
The increasing use of electronic health records (EHRs) for real-world evidence (RWE) studies is hindered by substantial heterogeneity in data collection practices and local coding schemes across healthcare providers. Data standardization—particularly the mapping of locally defined medical concepts to standardized vocabularies—is therefore a critical but labour-intensive step, traditionally relying on extensive manual review by clinical […]
Global English-language-dominated discourse on artificial intelligence in healthcare: a three-year longitudinal analysis of the #AIinHealthcare movement on X
BackgroundSocial media platforms facilitate global discourse on the application of artificial intelligence (AI) in healthcare. Nevertheless, there is a paucity of longitudinal analyses of digitally mediated discussions.ObjectiveTo investigate the evolution of global English-language-dominated discourse on #AIinHealthcare over a three-year period on X (formerly Twitter).MethodsUsing Fedica analytics, we analysed 57,880 tweets by 17,991 distinct users across […]
Multimodal AI-based systems in major depressive disorder: a review of clinical and translational applications
Major Depressive Disorder (MDD) is one of the most prevalent and disabling psychiatric conditions worldwide, involving alterations in mood regulation, cognitive function, sleep, and physiological systems. Traditional diagnostic approaches often rely on time-consuming interviews and questionnaires, which are largely based on subjective clinical judgment, and may contribute to misdiagnosis or suboptimal treatment selection. Artificial Intelligence […]
Cost-effectiveness analysis of a telemedicine network for acute neurological care in northeast Germany (ANNOTeM)
BackgroundExpert neurological care in rural areas remains a major challenge and contributes to disparities in outcomes after acute neurological emergencies. To address this gap, the ANNOTeM project established a comprehensive, digitally enabled “hub-and-spoke” telemedicine network connecting academic neurology centers with regional hospitals in northeast Germany, providing 24/7 remote expertise, standardized operating procedures, and digital quality […]
Mobile health apps for older adults: real-world evidence on engagement and medication adherence
IntroductionA rapidly aging global population is placing increasing strain on healthcare systems. Digital health (mHealth) applications may support older adults in managing chronic conditions and adhering to medication, yet this population is often underrepresented in research. This study aimed to investigate engagement, retention, and adherence among adults aged ≥65 years using the Perx Health mobile […]