IntroductionNon-suicidal self-injury (NSSI), defined as the deliberate infliction of harm to oneself without suicidal intent, poses a significant and growing mental health concern worldwide, particularly among adolescents and young adults. This behavior is associated with considerable emotional, social, and economic burdens, and is closely linked to heightened risks of future psychological challenges, including suicidal behavior. […]
A bridge, not a destination: YouTube viewer perspectives on AI mental health support and human therapy
BackgroundArtificial intelligence (AI) tools are increasingly used for mental health support, yet little is known about how they are understood outside clinical trials and survey-based research.MethodsThis study examined public perceptions of AI mental health support through a convergent mixed-methods analysis of 7,949 YouTube comments posted across ten videos discussing AI and mental health. Quantitative analyses […]
Construction and prototype effect evaluation of a multi-agent collaborative system for operating room nursing
ObjectiveTo develop an operating room intelligent collaborative management system, define its intelligent auxiliary role for nursing teams, and evaluate its efficacy in process optimization, efficiency improvement, and clinical acceptance.MethodsGuided by standards like the Guidelines for Operating Room Nursing Practice, five position-mapped agents (scheduling, resource, early warning, quality control, interaction) were designed. The system integrates a […]
Digital resources and interactive multimedia tools for breastfeeding promotion and support: a scoping review
BackgroundBreastfeeding is widely recognized as one of the most cost-effective public health interventions for improving maternal and child health outcomes. Nevertheless, breastfeeding indicators remain suboptimal worldwide despite strong international recommendations. In recent years, digital technologies have emerged as tools to support breastfeeding promotion, education, and continuity. However, the evidence on digital and multimedia breastfeeding interventions […]
Editorial: Advances in generative artificial intelligence for mental health
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Healthcare professionals’ perspectives on usefulness, acceptability and implementation conditions of socially assistive robots in France: a cross-sectional survey and cluster analysis
IntroductionIn healthcare, socially assistive robots are increasingly used for logistical, assistive, and psychosocial purposes, raising ethical, social, and organizational questions. In these contexts, professionals’ acceptability varies by use case, perceived risk, and care setting. Understanding how healthcare professionals evaluate these technologies is essential for anticipating their large-scale integration into health systems and its implications for […]
Designing and evaluating large language model-enabled clinical decision support for heart failure: a modular and risk-tiered framework
Heart failure (HF) care requires repeated decisions across suspected disease, diagnostic confirmation, phenotyping, guideline-directed medical therapy, device consideration, worsening HF, transition care, and advanced HF planning. Large language models (LLMs) may support this work by synthesizing structured and unstructured electronic health record data, retrieving current evidence, and presenting patient-specific reasoning. However, an HF-specific LLM clinical […]
Digital phenotyping of affect and stress in emerging adults
BackgroundDepression is highly heterogeneous and difficult to monitor or predict in daily life. One strategy for monitoring depressive symptoms is digital phenotyping, the real-time tracking of behaviors via personal devices. Digital phenotyping may be especially useful for predicting mood in emerging adults, a developmental period characterized by heightened rates of depression and smartphone use. However, […]
Reducing bias and enhancing equity in AI-enabled precision nutrition: addressing measurement error across wearables, multiomics, and dietary data
Artificial intelligence (AI) can offer individualized dietary guidance based on multimodal data collected from various sources, including wearable sensors, high-dimensional multiomics and biomarker analyses, behavioral tracking, and self-reported dietary intake, enabling the emergence of precision nutrition. However, the predictive power and fairness of these models rely on the quality of the data inputs, and measurement […]
Digital marketing of e-cigarettes in Southeast Asia: a neglected digital health and platform governance challenge for youth protection
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Determinants of technology adoption among healthcare professionals at Mogadishu hospitals using an extended UTAUT model
The study used the expanded Unified Theory of Acceptance and usage of Technology (UTAUT) to identify the variables influencing the usage of technology by medical staff in hospitals in Mogadishu. This study aimed to identify the key factors influencing technology usage among hospital staff in Mogadishu, Somalia, using an expanded Unified Theory of Acceptance and […]
Meta-analyses of randomized controlled trials assessing the effect of digital tools on step count and moderate-to-vigorous physical activity in healthy children and adolescents
BackgroundDigital tools can influence young people’s physical activity both positively and negatively. This meta-analysis (MA) aims to determine whether global interventions based on the use of digital tools are effective in increasing step count and moderate-to-vigorous physical activity (MVPA) among healthy school-aged children.MethodsThis MA builds upon a previous umbrella review that identified 43 randomized controlled […]