e.g. mhealth
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Skip search results from other journals and go to results- 102 Journal of Medical Internet Research
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Recent studies have underscored the effectiveness of using multihead transformer architecture and MLM self-supervised learning in the domain of EHR trajectory modeling. While these methods have exhibited superior performance in various contexts, we focus on investigating their limitations related to sequential order learning and propose enhancements to address this issue.
JMIR Med Inform 2025;13:e68138
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We specified 2 different sets of models to examine the effectiveness of using JITAI implemented with PIC to increase physical activity. Model set A was specified to examine the effects of PIC or UIC on physical activity after the intervention. To examine the change in physical activity after 1 hour of intervention by different intervention criteria, the mean level of physical activity was estimated for the group using UIC and the group using PIC at the hour before and the hour after the intervention.
JMIR Hum Factors 2025;12:e66750
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In addition, existing tools are limited by a lack of evidence of their effectiveness and impact, development and implementation, and little consumer engagement in their development [7].
JMIR Cancer 2025;11:e53690
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Technology-based electronic health (e Health) interventions may address common barriers to being physically active in the postpartum period, and as such are a promising approach to increasing PA levels in postpartum individuals at high risk for PPD. e Health PA interventions have demonstrated effectiveness in increasing PA in the general adult population [27,28].
JMIR Ment Health 2025;12:e64507
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Flow chart for investigating the teaching effectiveness of 2 dental simulators.
Flow chart for varying training patterns between the 2 simulators.
The first component of the study compared the training efficacy of dental simulators and traditional phantom heads. The participants of groups 1, 2, and 3 used Unidental, Simodont, and traditional phantom heads, respectively, for skill training, and were then assessed using traditional phantom heads.
J Med Internet Res 2025;27:e63961
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Assessing ChatGPT’s Capability as a New Age Standardized Patient: Qualitative Study
Guided by these aims, our investigation focused on the following research questions: (1) How do students perceive the effectiveness of Chat GPT compared with traditional SPs in medical training scenarios? (2) To what extent can Chat GPT function effectively as a virtual SP in medical education?
By addressing these questions, our study seeks to inform the potential integration of AI-driven virtual SPs into medical curricula, particularly in settings where access to traditional SPs is limited.
JMIR Med Educ 2025;11:e63353
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The results showed that sample size significantly influenced heterogeneity among studies, with diagnostic accuracy tending to decrease as sample size increased (regression coefficient=–1.384, P
This research aimed to evaluate the effectiveness of different ML algorithms in predicting ARDS. A total of 17 studies were reviewed, which identified 64 different ARDS prediction models.
J Med Internet Res 2025;27:e66615
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To increase the effectiveness of prostate cancer education, patient association meetings were held in a metaverse space rather than in a traditional setting. Although there is no single definition of the metaverse, it is generally considered to be a superset of virtual reality and augmented reality and refers to a 3 D virtual space that integrates physical and digital realities, where people can be represented virtually in a digital environment [9].
J Med Internet Res 2025;27:e63030
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