- Relationship Between Generative AI Use and Life Satisfaction and the Mediating Role of AI Literacy Among Hong Kong Adults: Cross-Sectional Study. [Journal Article]J Med Internet Res. 2026 Jul 14; 28:e88362.JM
- CONCLUSIONS: These findings synthesized the Technology Acceptance Model and self-determination theory and found a positive modest relationship between GenAI use and life satisfaction in Hong Kong adults. AI literacy showed a potential bridging role in the relationship between GenAI use and life satisfaction. Further longitudinal studies are needed to elucidate the causal direction and determinants of GenAI use and AI literacy.
- Publisher Full Text (DOI)
- User Acceptability and Adoption of AI-Generated Lifestyle Intervention Recommendations: Scoping Review and Theoretical Integration. [Review]J Med Internet Res. 2026 Jul 14; 28:e93573.JM
- CONCLUSIONS: This review extends prior AI and digital health reviews by shifting attention toward how users perceive, intend to follow, and enact AI-generated lifestyle recommendations. Acceptability and adoption appear to depend on systems eliciting and adapting to context, content being actionable and credible, users having the capacity to interpret, trust, and engage with recommendations while retaining control, and resources, routines, and social contexts allowing enactment. The framework can guide theory-driven evaluation, outcome selection, and system design by identifying where recommendation processes may succeed or fail, but should be interpreted as preliminary and evidence-informed rather than causal. By integrating implementation, behavioral, and human-AI perspectives, this review provides a foundation for moving AI-generated lifestyle recommendations from technically plausible outputs toward user-centered, context-sensitive, and behaviorally actionable support.
- Publisher Full Text (DOI)
- Guidance for Building Hospital at Home: Qualitative Descriptive Thematic Analysis of a Pan-Canadian Community Participatory Workshop Series. [Journal Article]J Med Internet Res. 2026 Jul 14; 28:e88921.JM
- CONCLUSIONS: This study provides insights into how the HaH virtual care model is perceived by health care providers, patients, caregivers, and hospital administrators in Canada. Our findings highlight the importance of equity, communication, care workloads, and fiscal sustainability in supporting HaH models.
- Publisher Full Text (DOI)
- Patient- and Caregiver-Informed Considerations for the Design and Implementation of Generative AI-Supported Patient-Centered Clinical Decision Support: Qualitative Study. [Journal Article]J Med Internet Res. 2026 Jul 14; 28:e75851.JM
- CONCLUSIONS: This study offers a patient- and caregiver-informed set of considerations for generative AI-supported PC CDS including holistic data use, continuous monitoring, addressing mistrust, and ensuring human oversight to mitigate risks such as errors in AI outputs. Participants emphasized the importance of co-design and the need for education, training, and user choice to support meaningful engagement. These interconnected considerations can inform future research and guide the design and implementation of patient-facing AI-supported PC CDS tools.
- Publisher Full Text (DOI)
- Concentration and Specialty Pair Patterns of Interdepartmental Consultations in Hospitalized Patients Using Real-World Data: Retrospective Cohort Study. [Journal Article]J Med Internet Res. 2026 Jul 14; 28:e81670.JM
- CONCLUSIONS: This study provides a novel, hospital-wide, network-based mapping of interdepartmental consultations using real-world data. Unlike prior work limited to single departments or diseases, it reveals that collaboration is concentrated, Pareto-like, and disease-driven. The identification of stable, disease-specific consultation pairs offers a data-driven framework for understanding multidisciplinary collaboration. These findings offer a data-driven framework for understanding multidisciplinary collaboration as a networked system. In practice, administrators and clinicians can use this evidence to prioritize resources, design standardized multidisciplinary team pathways, and implement spatial or digital interventions to reduce delays and improve patient flow and outcomes.
- Publisher Full Text (DOI)
- Factors Shaping Trust and Satisfaction With AI Medical Chatbots: A Mixed Methods Vignette Survey of Caregivers Seeking Guidance on Pediatric Infectious Diseases. [Journal Article]J Med Internet Res. 2026 Jul 14; 28:e88126.JM
- CONCLUSIONS: Existing evaluation frameworks only partially capture how caregivers assess medical chatbots. Caregivers valued actionable guidance, credible references, and clear reasoning over lengthy, exhaustive detail. Rather than passively receiving dense information, they preferred an interactive style in which the chatbot proactively proposed follow-up suggestions, helping them steer the conversation toward their specific needs. Reactions to empathetic language and medical disclaimers were context-dependent: features that built trust in some situations could seem insincere, excessive, or unnecessary in others. These findings suggest that future medical chatbots should move beyond one-size-fits-all communication and adapt to individual users' situations, preferences, and information needs. Evaluation protocols should likewise assess not only whether chatbot responses are accurate and comprehensive but also whether they are actionable, appropriately toned, and responsive to users' evolving needs over the course of a conversation.
- Publisher Full Text (DOI)
- AI-Designed Radiopharmaceuticals: How Machine Learning Is Redefining Precision Cancer Therapy. [News]J Med Internet Res. 2026 Jul 09; 28:e106201.JM
- Computing advances are helping improve the precision and effectiveness of cancer treatment. In this News and Perspectives article, JMIR Correspondent Benedette Cuffari reports on recent AI applications for radiopharmaceutical therapy, as well as the current state of the field and its future potential.
- Publisher Full Text (DOI)
- Menopause Apps Offer Empowerment, but Pose Risks. [News]J Med Internet Res. 2026 Jul 13; 28:e106205.JM
- Increased health care and research attention to menopause, along with growing industry investment, has fueled a commercial boom in menopause-related products, services, and apps. In this News and Perspectives article, JMIR Correspondent Wendy Glauser reports on the benefits and risks associated with menopause apps.
- Publisher Full Text (DOI)
- Promoting Problem-Solving Among Low-Income Adults With Type 2 Diabetes: Cluster-Randomized Controlled Trial of a Mobile Health Intervention With SMS Text Messaging (Mobile Diabetes Detective). [Randomized Controlled Trial]J Med Internet Res. 2026 Jul 13; 28:e82305.JM
- CONCLUSIONS: This study evaluated the impact of a mobile intervention for problem-solving in diabetes. MoDD is innovative because it operates autonomously and tailors support to individuals' self-monitoring data. Although there was no significant between-group difference in HbA1c, the intervention group showed sustained within-group improvement at 12 months. These findings highlight the potential long-term benefits of autonomous mHealth interventions for problem-solving. The study observed an increase in diabetes distress, possibly reflecting heightened awareness of uncontrolled blood glucose levels. If implemented in clinical practice, MoDD could complement diabetes education and help improve glycemic control.
- Publisher Full Text (DOI)
- Digital Outpatient Care for Patients With Type 1 Diabetes (DigiDiaS): Pragmatic Observational Pre-Post Study. [Journal Article]J Med Internet Res. 2026 Jul 13; 28:e94782.JM
- CONCLUSIONS: This real-world pragmatic observational comparison under routine conditions demonstrates that reorganizing outpatient care for patients with type 1 diabetes into a flexible digital model, DigiDiaS care, did not result in statistically significant between-group differences in health outcomes, including self-management, glycemic control, and well-being, compared with usual care. Over 80% of participants in DigiDiaS care utilized the digital solution, with patient-initiated asynchronous messaging as the most frequently used feature.
- Publisher Full Text (DOI)
- From Solution Traps to Solution Patchwork: Easing Tensions in Designing Digital Health in the Global Context. [Journal Article]J Med Internet Res. 2026 Jul 13; 28:e82214.JM
- Two recently published viewpoint articles by JMIR Publications highlighted the 2 faces of medical informatics research. On the one hand, they spotlight the significant advances digital technologies bring to health management and delivery. Over the last decade, technological advances have transformed health care worldwide. Consumers have much broader access to digital health tools, gathering an un…
- Publisher Full Text (DOI)
- AI Model Improves Interpretation of Cardiac Magnetic Resonance Imaging Scans. [News]J Med Internet Res. 2026 Jul 13; 28:e106121.JM
- Interpreting cardiac magnetic resonance imaging scans takes significant time and specialist expertise. In this News and Perspectives article, JMIR Correspondent Shalini Kathuria Narang reports on new research introducing an AI tool that may enhance accuracy and efficiency.
- Publisher Full Text (DOI)
- On the Road Again: Virtual Reality for Poststroke Rehabilitation. [News]J Med Internet Res. 2026 Jul 13; 28:e106124.JM
- Virtual reality (VR) has a long history in stroke rehabilitation. In this News and Perspectives article, JMIR Correspondent Jenna Congdon reports on one person's journey back to driving after a stroke, highlighting the strengths, limitations, and future of VR in rehabilitation.
- PMC Free PDF
- Family Size and Longitudinal Outcomes of a Digital-Human Parenting Intervention in Chinese Preschool Families: Secondary Analysis. [Randomized Controlled Trial]J Med Internet Res. 2026 Jul 10; 28:e101388.JM
- CONCLUSIONS: Family size might not always be associated with short-term intervention effectiveness but was associated with divergence in longer-term trajectories. These findings suggest that caregiving demands are relevant for the sustainability of intervention effects. By integrating baseline differences, short-term effects, and longitudinal trajectories within a single framework, this study highlights the importance of moving beyond average treatment effects to more dynamic, context-sensitive evaluations. Designing parenting interventions, particularly scalable digital-human programs, that incorporate sustained and context-responsive support may be critical for addressing variation in family structure and enhancing long-term effectiveness.
- Publisher Full Text (DOI)
- Artificial Intelligence for Evidence Synthesis of Emerging Biologics to Improve Skeletal Health in Osteogenesis Imperfecta: Systematic Review and Meta-Analysis. [Systematic Review]J Med Internet Res. 2026 Jul 10; 28:e85840.JM
- CONCLUSIONS: This review is the first to synthesize and quantitatively compare skeletal outcomes across multiple biologics in OI with an AI-assisted review workflow. Denosumab and setrusumab demonstrate promising efficacy in improving lumbar spine aBMD across ages, although current evidence does not support superior fracture reduction over bisphosphonates. GPT-4o can substantially accelerate evidence synthesis but should be deployed with explicit human oversight in tasks requiring contextual understanding and clinical reasoning. These findings should be interpreted cautiously given the small and heterogeneous trial base. Taken together, our workflow presented how evidence synthesis may be scaled and operationalized in real-world rare disease research.
- Publisher Full Text (DOI)