Digital health tools are generally poorly regulated and often lack strong research evidence, posing challenges for purchasers of point solutions such as employer groups and insurers. Point solutions, which are digital tools designed to manage health-related conditions, to promote wellness, and/or to drive member engagement, present unique challenges for purchasers. In this Review we provide […]
Crisis support teams’ technological openness and learning attitudes toward the AI based virtual patient system crisis support VR
BackgroundAgainst the backdrop of escalating global humanitarian crises, innovative didactic simulations are becoming increasingly important. A promising alternative to traditional classroom-based didactics for learning psychological first aid (PFA) prior to humanitarian crises is to use generative artificial intelligence (GenAI)-based virtual patient (VP) systems. However, there is limited research on the use of GenAI-based VP systems […]
Ensemble based in transfer learning for cytological classification in pleural fluid
Pleural effusion cytology is critical for diagnosing benign and malignant conditions, yet manual interpretation remains time-consuming and prone to subjectivity. The increasing burden of malignant pleural effusion in resource-constrained settings highlights the need for automated diagnostic solutions. This study presents an ensemble deep learning framework combining ResNet50V2, DenseNet121, and InceptionV3 architectures with transfer learning for […]
From Engel’s Bio-Psycho-Social model to the personalized health determinants model: a comprehensive framework and illustrative operationalization for precision health
Engel’s Bio-Psycho-Social (BPS) model (1977) reframed healthcare by integrating biological, psychological, and social perspectives. Despite its influence, the model has been criticized for insufficient specificity in domains critical to precision health, including nutrition, lifestyle, socioeconomic, environmental, and structural factors. To address these limitations, we propose the Personalized Health Determinants Model (PHDm), a comprehensive nine-dimension framework, […]
Advancing women’s health through equity in quantitative sciences: promoting sex- and gender-based modeling in clinical trials and real-world studies
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Trauma-informed conversational agents for mental health: understanding user perspectives and experiences
IntroductionMental health conversational agents (MHCAs) offer scalable, accessible psychological support yet raise concerns about safety and appropriateness for trauma, exposed users. While trauma-informed care (TIC) principles, emphasizing safety, trust, empowerment, collaboration, peer support, and cultural sensitivity, are well-established in clinical practice, their application and user interpretation in chatbot contexts remain unexplored. This study aimed to […]
ChatGPT in healthcare: perceptions, ethical considerations, and practice implications among healthcare professionals in Ecuador and other countries in the Americas: a cross-sectional survey study
BackgroundGenerative artificial intelligence tools, such as ChatGPT, are increasingly discussed in healthcare; however, evidence from Latin American professional settings is limited and must be interpreted in light of regional digital inequities and ethical concerns.ObjectiveTo examine awareness, ethical perceptions, usage patterns, and attitude determinants related to ChatGPT among HCPs practicing mainly in Ecuador and other countries […]
The Italian landscape of digital therapeutics in a European context
Introduction and aimDigital Therapeutics (DTx) are emerging as a key component of the modern healthcare landscape, offering evidence-based therapeutic interventions powered by software. Unlike wellness apps, DTx require robust clinical validation to demonstrate their efficacy in managing and treating diseases such as diabetes, anxiety, depression, and hypertension. Clinical trials evaluating DTx follow rigorous methodologies similar […]
Within-person modeling of postprandial glucose using multimodal wearable data
The widespread adoption of continuous glucose monitoring (CGM) and wearable sensing technologies has enabled large-scale collection of high-resolution physiological and behavioral data in real-world settings. However, the analytical frameworks needed to translate these data into actionable, individualized insights remain limited. In particular, many existing approaches rely on population-level analysis or controlled experimental designs, which often […]
Medical visual question answering with multimodal: a systematic mini review (2023–2026)
Medical visual question answering (Med-VQA) has emerged as a critical application of artificial intelligence within a short period of time. Large language models (LLMs) and vision-language models (VLMs) have fundamentally rewritten the architecture of medical question answering (QA). This study aims to systematically analyze recent developments in Med-VQA. Like past methods, which were simple, text-heavy […]
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 heterogeneous diseases such as cardiomyopathies and heart failure remain inadequately evaluated. This study systematically benchmarked state-of-the-art LLMs on patient-oriented heart failure and cardiomyopathy queries regarding clinical appropriateness and comprehensibility.MethodsSix prominent […]
The EU AI Act: implications and compliance guidance for healthcare facilities
BackgroundThe European Union AI Act [Regulation (EU) 2024/1689] establishes the first comprehensive legal framework for artificial intelligence. While AI offers transformative potential in healthcare, its deployment introduces risks regarding safety, bias, and accountability. There is currently a lack of practical operational frameworks to help healthcare facilities transition from legal theory to clinical compliance.MethodsWe performed a […]