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Skip search results from other journals and go to results- 59 Journal of Medical Internet Research
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Once recorded on a blockchain, transactions are immutable (cannot be changed or deleted), existing in a verifiable and auditable manner that fosters transparency and trust [1,3]. While blockchain is best known as the underlying technology of cryptocurrencies like Bitcoin, the application of its properties in the health research sector can transform the ways we share, access, and use data [1,4].
JMIR Mhealth Uhealth 2025;13:e65747
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However, it remains unknown whether users of these channels are significantly more likely to believe the misinformation and to trust specific geopolitical powers on a nationwide scale. Therefore, we examined associations between (2a) political trust and the 2 sets of misinformation, as well as associations between (2b) media use factors and the 2 sets of misinformation.
JMIR Infodemiology 2025;5:e62913
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The literature on trust in AI highlights concerted efforts to foster trust by exploring strategies to address trust issues between AI systems and users. For example, some studies suggest that redefining AI as a supportive adjunct to professionals rather than a standalone solution could promote acceptance [9,10]. In addition, showcasing instances where AI surpasses human experts in specific tasks may enhance humans’ trust in AI [5,9,11].
JMIR Hum Factors 2025;12:e59010
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In this paper, we focus on a central inhibitor of successful AI adoption in health care, namely, the low levels of user trust in AI systems [18]. Understanding and fostering trust in AI remains challenging, not only practically but also conceptually. Interpersonal trust constitutes a complex and contested construct in philosophy and social sciences [19-24]. Moreover, accounts diverge on what constitutes being worthy of trust, namely, on the definition of trustworthiness [19,20].
J Med Internet Res 2025;27:e56306
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A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study
Other studies have examined overall levels of trust in traditional information sources concerning COVID-19 by comparing television, radio, and newspapers with websites [30] but to our knowledge, this is the first study that examines trust and the antecedents of trust in different digital resources in relation to COVID-19.
JMIR Infodemiology 2025;5:e59317
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Understanding Providers’ Attitude Toward AI in India’s Informal Health Care Sector: Survey Study
For independent variables in the regression analysis, we included “Confidence in diagnosing TB” and “Trust in local radiologists,” and demographic variables such as age, gender, and state of residence.
JMIR Form Res 2025;9:e54156
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Previous research has demonstrated that users with greater privacy concerns regarding social media tend to have lower trust toward these platforms [36,38]. Therefore, we hypothesize the following:
Hypothesis 1: For pregnant individuals, IUIPC will have a negative effect on their trusting beliefs.
There is often an inverse relationship between trusting beliefs and risk beliefs because trust implies a firm belief in the reliability of something, while risk indicates the possibility of negative outcomes.
JMIR Form Res 2025;9:e60862
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Digital Age Transformation in Patient-Physician Communication: 25-Year Narrative Review (1999-2023)
Misinformation can undermine the trust necessary for effective health care relationships, which is critical because trust influences patients’ willingness to follow medical advice and maintain open communication with their providers. For instance, the impact of social media on these relationships significantly varies based on the accuracy of the information and the preexisting relationship between patient and physician, which can range from positive to negative [18].
J Med Internet Res 2025;27:e60512
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From Theory to Practice: Viewpoint on Economic Indicators for Trust in Digital Health
In 2023, the World Health Organization (WHO) in the European Region stated that 77% of its Member States believe the lack of trustworthy sources to access effective medical apps is a substantial implementation barrier to digital health transformation: “Trust is paramount – trust in technology, trust in data protection and, most critically, trust in the respect and safeguarding of privacy rights pertaining to personal health data” [3]. Trust in public health systems legitimizes these activities.
J Med Internet Res 2025;27:e59111
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