Background: Individuals with mental disorders frequently use YouTube to express themselves, reach an audience, or as a means of understanding their condition. Testimonies posted on YouTube provide longer and richer perspectives than ...
Background: Recent years have seen an immense surge in the creation and use of chatbots as social and mental health companions. Aiming to provide empathic responses in support of the delivery of personalized support, these tools are ...
Background: Routine electronic assessment of patient-reported outcomes (ePROs) can improve cancer care; yet, its implementation in routine practice and long-term sustainability remain unclear. Understanding these aspects is critical ...
Background: Digital health interventions (DHIs) have rapidly evolved and significantly revolutionized the health care system. The quadruple aims of health care (improving population health, enhancing consumer experience, enhancing he...
Background: Creating a sustainable, patient-centered health care system necessitates integrated supply chains supported by information technologies. However, achieving interoperability among various devices and systems remains a sign...
Background: Older adults with cognitive deficits face difficulties in recalling daily challenges and lack self-awareness, impeding home care clinicians from obtaining reliable information on functional decline and home care needs and...
Background: Among 5.4 million people receiving treatment for asthma in the United Kingdom, more than 2 million experience suboptimal control, leading to the use of health care services and resulting costs as well as poorer quality of...
Background: Self-monitoring of dietary behaviors is typically a central component of behavioral weight loss programs, and it is widely recognized for its effectiveness in promoting healthy behavior changes and improving health outcom...
Background: Dengue fever is a significant public health concern. The advent of social media has introduced digital opinion leaders (DOLs), health care professionals with substantial online followings who play a pivotal role in dissem...
Background: Motivational interviewing (MI) is frequently used to facilitate behavior change. The use of change talk during motivational interviews can predict subsequent behavior change. However, no studies have compared the informat...
Background: People with acquired brain injury (ABI) may be more susceptible to scams owing to postinjury cognitive and psychosocial consequences. Cyberscams result in financial loss and debilitating psychological impacts such as sham...
Background: The widespread use of electronic health records in the clinical and biomedical fields makes the removal of protected health information (PHI) essential to maintain privacy. However, a significant portion of information is...
Background: Primary headaches, including migraine and tension-type headaches, are widespread and have a social, physical, mental, and economic impact. Among the key components of treatment are behavior interventions such as lifestyle...
Background: The integrated health management system (IHMS), which unites all health care–related institutions under a health-centered organizational framework, is of great significance to China in promoting the hierarchical treatme...
Background: Large language models such as GPT-4 (Generative Pre-trained Transformer 4) are being increasingly used in medicine and medical education. However, these models are prone to “hallucinations” (ie, outputs that seem conv...
Background: Benefiting from rich knowledge and the exceptional ability to understand text, large language models like ChatGPT have shown great potential in English clinical environments. However, the performance of ChatGPT in non-Eng...
Background: During the COVID-19 pandemic, urban inhabitants faced significant challenges in maintaining connections with nature, adhering to nutritional guidelines, and managing mental well-being. Objective: Recogniz...
Background: Various studies propose the significance of digital maturity in ensuring effective patient care and enabling improved health outcomes, a successful digital transformation, and optimized service delivery. Although previous...
Background: Machine learning is a potentially effective method for predicting the response to platinum-based treatment for ovarian cancer. However, the predictive performance of various machine learning methods and variables is still...
This editorial explores the evolving and transformative role of large language models (LLMs) in enhancing the capabilities of virtual assistants (VAs) in the health care domain, highlighting recent research on the performance of VAs and LLMs in healt...
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