e.g. mhealth
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Skip search results from other journals and go to results- 17 Journal of Medical Internet Research
- 4 JMIR Mental Health
- 3 JMIR Formative Research
- 3 JMIR mHealth and uHealth
- 1 JMIR AI
- 1 JMIR Biomedical Engineering
- 1 JMIR Medical Informatics
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As such, there remains a need for new accessible interventions to support emotion regulation and associated functioning among adolescents with ADHD, especially those that can support the application of emotion regulation skills in real-life contexts. Interventions that are “ecologically” embedded, facilitating emotion regulation generalization in daily life are particularly needed.
JMIR Ment Health 2025;12:e56066
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Toward a New Conceptual Framework for Digital Mental Health Technologies: Scoping Review
Several categorization or classification frameworks for digital health technologies are available within regulation and HTA. These are designed to be broad and appropriate for a range of digital technologies across health conditions and have broad international applicability [10,11]. These frameworks categorize technologies according to the severity of the conditions and their role in clinical management. However, there is uncertainty around how to place DMHTs within these categories.
JMIR Ment Health 2025;12:e63484
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Regulation and Compliance in Telemedicine: Viewpoint
States have varied in their regulation of telemedicine across state borders [39]. For example, if a provider is licensed in New York and treats a patient who is in California for college or lives part-time in Florida, they can only see the patient within New York (even if the provider is out of state during the visit) [40]. In the same example, if the New York provider has a patient in New Jersey, that patient would have to drive into New York to be seen over telemedicine.
J Med Internet Res 2025;27:e53558
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Consideration of Cybersecurity Risks in the Benefit-Risk Analysis of Medical Devices: Scoping Review
Regulatory frameworks such as the Medical Device Regulation (EU_MDR) in the European Union (EU) and the Federal Food, Drug, and Cosmetic Act (FD&C Act) in the United States mandate that manufacturers secure c MDs against these vulnerabilities to ensure that the risks for patients are as minimal as possible to guarantee a high level of health and safety protection [18-20].
J Med Internet Res 2024;26:e65528
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Concurrent Mentions of Vaping and Alcohol on Twitter: Latent Dirichlet Analysis
After qualitative examination of relevant terms and full tweets, the following topic themes were identified: (1) flavors and flavor ban (n=3334, 51.8% of tweets; Figure 1), (2) co-use discourse (n=1119, 17.4%), and (3) availability and access regulation (n=1984, 30.8%).
J Med Internet Res 2024;26:e51870
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Regulating AI in Mental Health: Ethics of Care Perspective
This is a small example of the issues raised when incorporating artificial intelligence (AI) in mental health, as current AI regulation does not address the impact on human relationships and emotions. This article describes the problem and refers to the ethics of care as a source for regulation in this sphere.
The mental health field is in need of innovative solutions for a myriad of issues it faces [1,2].
JMIR Ment Health 2024;11:e58493
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In the United Kingdom, the MHRA is engaged in a change program on Sa MD regulation but with a component examining arrangements needed so that AI technologies are effectively regulated [24].
J Med Internet Res 2024;26:e58939
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Hence, the data, albeit limited by the user’s willingness to share their location, still provides meaningful insight into the public perceptions of the policy in the United States, offering a valuable snapshot of the discourse among a segment of the population likely to be directly impacted by the regulation.
In general, we found a mixed attitude toward the JUUL ban policy on Twitter during the study period from June 22, 2022, to July 25, 2022.
JMIR Form Res 2024;8:e51327
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AI: artificial intelligence; FRA: fundamental rights assurance; GDPR: General Data Protection Regulation; ML: machine learning; MNAR: missing not-at-random.
RAI should ensure quality, generalizable knowledge through automated or semiautomated data preparation and lifelong learning processes cost-effectively.
J Med Internet Res 2024;26:e50295
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But even potentially accurate systems will likely sometimes produce errors, an eventuality that could be heightened by the absence of regulation of AISymp Check apps. The possibility that symptom checker apps will provide inaccurate information poses a clear potential risk to users. App-mediated misdiagnosis might also cause confusion in medical practice.
J Med Internet Res 2024;26:e50344
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