Journal of Medical Internet Research

Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility and recurrent fractures. Emerging biologics demonstrate promise by targeting bone-remodeling pathways, yet evidence for their efficacy and safety remains fragmented and heterogeneous, and no prior systematic review in OI has incorporated artificial intelligence (AI) to synthesize it.

Parenting interventions can improve parental and child outcomes across diverse settings. However, less is known about how family size, including the number of children, shapes baseline conditions, and how intervention effects unfold over time. Most studies also focus on average treatment effects, with limited attention to heterogeneity across family contexts and trajectories of change.

Child abuse severely disrupts the healthy growth and development of children, resulting in long-term physical as well as emotional consequences. In real-world settings, despite the continuous increase in reported abuse cases, the chronic shortage of certified child abuse professionals has significantly increased the workload of individual counselors, making timely intervention increasingly difficult.

Vertebral compression fractures (VCFs) impose a substantial clinical and health care burden, and their management relies on timely access to evidence-based guidelines. Large language models (LLMs) may help clinicians rapidly obtain guideline-related information, but their performance on VCF guidelines remains unclear.

Expectations of integrating health and social care providers have driven the development of digital solutions aimed at overcoming interoperability challenges and ensuring access to information needed for integrated care across fragmented services. However, challenges persist in aligning diverse coding practices, heterogeneous data-sharing mechanisms, and stakeholder needs.

The health care industry is witnessing a rapid proliferation of medical devices. Health care organizations need effective tools to identify devices that best align with their needs, and ensure seamless integration into clinical processes. Existing conceptualizations of expert knowledge remain fragmented, and no comprehensive decision support systems exist to assist stakeholders in evaluating and introducing new medical devices. Ontology-based approaches offer a promising avenue to formalize such complex, multidisciplinary knowledge.

Prostate cancer (PCa) is the most common nonskin cancer among men. Although treatments achieve excellent survival for localized PCa, long-lasting complications significantly diminish patients’ quality of life (QOL) across physical, sexual, psychosocial, and general symptom domains. Because these effects also profoundly impact intimate partners, often reducing partners’ QOL as much as or more than patients’ QOL, supportive care must address the needs of both members of the couple.

Online health communities (OHCs) are important channels for families of children with autism spectrum disorder to obtain health information and psychosocial support. Differences between an open forum platform and the physician-patient consultation platforms may shape caregiver decisions, yet comparative evidence from China remains limited. A large language model (LLM) provides a scalable approach for systematic content annotation in large OHC datasets.

Cyberbullying affects approximately one-third of Thai secondary school students and has been linked to adverse emotional outcomes and mental health vulnerabilities. Strengthening digital resilience, along with critical thinking, empathy, and help-seeking skills, is essential to empower youth to cope with online risks and promote safer digital behavior. Despite growing recognition of cyberbullying as a critical youth mental health issue, few studies have explored how digital resilience interventions can be co-designed with youth and relevant stakeholders to address the contextual and emotional challenges experienced by affected adolescents.

Patients frequently access laboratory results through patient portals, but many struggle to interpret these values and formulate relevant questions for their clinicians. Question prompt lists (QPLs) can enhance communication but are rarely tailored to individual clinical contexts.

Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes mellitus (T2DM) post partum, with up to half of affected women progressing within a decade. Early identification of high-risk individuals is critical for implementing preventive interventions. Artificial intelligence (AI) offers enhanced predictive capabilities that can substantially enhance the prevention of postpartum diabetes.

Decentralized clinical trials (DCTs) represent an emerging model in clinical research, accelerated by the restrictions imposed during the COVID-19 pandemic. By leveraging digital technologies and local health care resources, DCTs aim to increase accessibility and reduce participant burden compared to traditional site-based models, which often face recruitment failures and high attrition rates. While various regulatory initiatives in Europe, such as the Accelerating Clinical Trials in the European Union program and the European Medicines Regulatory Network recommendation paper (updated in October 2025), have sought to facilitate their implementation, the widespread adoption of DCTs remains limited due to significant operational, regulatory, and technological challenges, including platform fragmentation and gaps in digital literacy.