e.g. mhealth
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Skip search results from other journals and go to results- 51 Journal of Medical Internet Research
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CFIR is a widely used framework in implementation science, with great breadth in its application across study design, objectives, settings, and outcome measures [20].
JMIR Mhealth Uhealth 2025;13:e60173
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An interactive map is available from Leiden University’s VOSviewer Online application.
Keywords in cluster 3 (dark blue) were especially focused on 3 technological aspects of e Health, namely, e Health technology infrastructure, data security and privacy, and health analytics. Keywords relevant to the e Health technology infrastructure were, for example, internet, online, internet of things, cloud computing, blockchain, information-systems, interoperability, smartphone, cloud, etc.
J Med Internet Res 2025;27:e60071
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Recommendations for Successful Development and Implementation of Digital Health Technology Tools
Once a digital health application is implemented, key performance metrics should be tracked across several domains. Technical performance measures (eg, system availability and data completeness rates) help ensure reliable operation, while clinical impact metrics (eg, diagnostic accuracy and workflow completion times) assess health care delivery improvements.
J Med Internet Res 2025;27:e56747
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understand continued intention to use mobile applications: a four-country study of mobile social media application Reference 83: Influencing factors of acceptance and use behavior of mobile health application users:application
JMIR Aging 2025;8:e66610
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Annual scientific production of articles focused on the application of machine learning in HIV testing.
The output in Table 3 presents the top 10 most productive and influential journals that publish studies focused on machine learning and emerging health technologies in HIV testing–related topics. Among them, AIDS and Behavior ranked at the top of the list, marked by the highest h-index (10), number of citations (494), and number of publications (19).
Interact J Med Res 2025;14:e64829
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As Thomassin-Naggara et al [33] noted, the integration of such standards strengthens training data and provides a solid foundation for the broader application of AI in clinical practice. Standardizing the AI training and annotation process is essential for the accurate identification and classification of mammographic features, which are critical for early cancer detection. Without standardization, inconsistent labeling can introduce biases that undermine the performance of the algorithm.
J Med Internet Res 2025;27:e62941
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The mobile application installation guide was addressed to clinicians in case they need to install the m-RESIST solution in patients’ devices. This guide details the steps to download the m-RESIST application and install it on the smartphone and the smartwatch. The mobile application user guide was addressed to patients, caregivers, and clinicians and described the functionalities of the m-RESIST app working together with the smartwatch, once the app was installed on the Android smartphone provided.
JMIR Hum Factors 2025;12:e67659
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Research assistants encouraged participants to use this application to learn more about AF, its management, and the tracking of medications and symptoms. Participants in the control arms of both trials received an informational session from study team members providing a brief overview of AF and complications such as stroke, heart functioning, and signs of an impending stroke derived from American Heart Association educational materials.
JMIR Cardio 2025;9:e66436
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The application facilitates the development of a graded exercise rehabilitation program for patients and aids them in self-monitoring the program’s implementation. The main objective was to assess the effects of using a CV-graded exercise intervention application (after 6 weeks) on clinical outcomes (pain and physical function) among patients diagnosed with KOA. The secondary outcome was to investigate the effects of application implementation on the affective state and self-efficacy of patients with KOA.
JMIR Mhealth Uhealth 2025;13:e63022
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The Applications of Large Language Models in Mental Health: Scoping Review
Therefore, the application of LLMs in mental health is expanding across diverse domains [13-16].
Researchers have explored the applications of LLMs in mental health in various areas, encompassing screening or detecting mental disorders [17-19], supporting clinical treatments and interventions [20-22], and assisting in mental health counseling and education [17,20,23,24].
J Med Internet Res 2025;27:e69284
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