Factors Influencing Adoption of Large Language Models in Health Care: Multicenter Cross-Sectional Mixed Methods Observational Study

Background: Background: Large language models (LLMs) such as ChatGPT are rapidly reshaping information management in health care by transforming how knowledge is accessed, communicated, and applied. However, their adoption in sensitive domains raises unresolved concerns regarding trust, privacy, and equity, especially in low- and middle-income countries with varying levels of digital readiness and institutional safeguards. […]

Digital Biomarkers of Cytokine Release Syndrome: Scoping Review and Ontology Development of the Role and Relevance of Digital Measures Using a Mixed Methods Approach

Background: Advancements in cancer-targeted immunotherapies have transformed care, yet these therapies present a high likelihood of cytokine release syndrome (CRS), a potentially severe immune-related adverse event. The ability to identify CRS earlier could improve care by mitigating risks, widening patient access and reducing the burden on patients, caregivers, and healthcare providers. Digital health technologies (DHTs) […]

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