Journal of Medical Internet Research

The impact of biofeedback-based virtual reality (VR-BF) on pain and anxiety in pediatric surgical patients remains unexplored.

The trajectory of a patient with trauma is often complex and nonlinear. Real-time estimation of the mortality risk from prehospital care to discharge is critical for point-of-care decision-making and for benchmarking the quality of care. Conventional risk assessment systems in trauma are simple and data-sparse, leaving potential for harvesting available data for personalized risk assessments accounting for developing patient states.

Urban green spaces support psychological well-being, yet access is often limited for city residents. Virtual reality (VR) offers a promising indoor alternative, but evidence on sustained mental health effects of longer-term VR nature exposure remains limited.

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Generative AI (GenAI) is increasingly used by health information consumers to interpret medical content and support decision-making. Although these systems provide accessible and timely information, they may also produce inaccurate or misleading outputs. Effective use of GenAI, therefore, depends on users’ ability to calibrate trust based on information accuracy. However, little is known about how learned dependency on GenAI (the habitual reliance on AI systems for solving problems) influences trust calibration in health information contexts.

Digital health tools, such as health chatbots, may improve access to scalable health support, but adoption remains inconsistent. Existing models do not fully integrate technology acceptance factors with health motivation factors relevant to digital health use.

Social media has become an important channel for health information dissemination and public discussion of human papillomavirus (HPV) vaccination. Previous reviews have examined social media and HPV vaccination, often focusing on single platforms, broader HPV-related topics, or the potential effects on knowledge, leaving limited cross-platform synthesis specifically focused on HPV vaccine–related communication content, information sources, and analytical approaches.

Digital platforms are primary sources of sexual health information for young adults, yet they are widely perceived as unreliable. This tension between distrust and reliance remains undertheorized.

Quality of life (QoL) plays a crucial role in dementia care; however, QoL and its dynamic, context-dependent nature can be difficult to capture among people living with dementia due to challenges in memory and communication, and limitations of self-reported QoL instruments. Observational tools such as the Maastricht Electronic Daily Life Observation (MEDLO) provide narrative descriptions of the daily life of people living with dementia in nursing homes. However, the MEDLO tool was not developed to assess QoL specifically, and it remains unclear to what extent its narrative descriptions reflect aspects of QoL. Analyzing these narrative descriptions is labor-intensive and time-consuming. Recent advances in natural language processing, including large language models (LLMs), offer the potential to analyze these narrative descriptions at scale.

Hypertension is a leading preventable cause of cardiovascular disease, yet a substantial proportion of adults remain undiagnosed, limiting opportunities for early intervention. A predictive model was commissioned by the North West London (NWL) Integrated Care Board to identify undiagnosed hypertension. The model was developed using health records from the Whole Systems Integrated Care (WSIC) database.

AI-enabled digital health services are rapidly expanding within health care systems and are expected to improve health management and access to health information. However, rigorous empirical evidence on whether AI health service use is associated with individual health satisfaction remains limited, particularly regarding whether these potential benefits differ across socioeconomic groups.

Large language models (LLMs) are rapidly entering health care, but limited empirical data exist on health care professionals’ perceptions. Understanding health care professionals’ attitudes is essential for responsible implementation as LLMs transition from experimental to routine tools.