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Skip search results from other journals and go to results- 1066 Journal of Medical Internet Research
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Many recent reviews have shown that low engagement is a ubiquitous problem among DMHIs [17-19]. Plus, user engagement is considerably lower in naturalistic settings than in empirical studies [19-21]. To illustrate this, a review of 59 off-the-shelf mental health apps reported a median uptake rate of 4.0% and a 15-day retention rate of only 3.9% [22].
JMIR Ment Health 2025;12:e67190
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RM involves sending CIED data from a patient’s residence via a transmitter or smartphone app. Routine transmissions are usually sent every 90 days and can also be patient- or alert-initiated. RM is a Class 1, Level of Evidence A, professional society recommendation because of its many clinical outcome benefits [1,2]. These include reduced mortality [3-5], fewer hospitalizations [3,6], fewer inappropriate ICD shocks [7], as well as high patient satisfaction [8].
JMIR Cardio 2025;9:e66215
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In AIG, this can be interpreted as the need to harmonize the collaboration of a subject matter expert and AI tools working together on developing item and cognitive models.
In this paper, we propose a hybrid AIG method that uses AI to generate an item model (template) and a cognitive model for applying the item template in a template-based item generation process.
JMIR Form Res 2025;9:e65726
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Modernizing the Staging of Parkinson Disease Using Digital Health Technology
Given the crossover nature of this viewpoint, Figure 1 was created to present a timeline of the history of the classification of PD alongside the history of digital health technology. In the past 60 years, there has been a tangential modernization of both classification and staging techniques and digital health technology.
J Med Internet Res 2025;27:e63105
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The Role of AI in Nursing Education and Practice: Umbrella Review
Systematic reviews, including the one by Gonzalez-Garcia et al [45], provided detailed eligibility justifications, strengthening the reliability of their findings. Their approach highlighted a commitment to methodological rigor and consistency.
Some reviews, such as the one by Montejo et al [36], adopted broader inclusion criteria that, while providing a comprehensive perspective, limited the depth of the insights. A more refined focus could enhance the specificity and relevance of findings.
J Med Internet Res 2025;27:e69881
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We iteratively and rigorously engineered detailed “prompts” guiding GPT to emulate a diagnosis-focused or management-focused VP and provide feedback. To instantiate a specific VP, the interface accesses a 1-page case description. Narrative S1 in Multimedia Appendix 1 reports the full prompt and 1 case description.
We selected as topics 2 common problems in ambulatory medicine: chronic cough (a diagnostic task) and diabetes (a management task).
J Med Internet Res 2025;27:e68486
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Telemedicine is often considered to be a promising solution for sustainable health care delivery as multiple reviews reported a reduction in travel-related emissions [9,10]. Savings were typically setting dependent and ranged anywhere between 0.7 and 372 kg of carbon dioxide equivalents (kg CO2eq) per consultation [10].
J Med Internet Res 2025;27:e67538
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The following electronic databases of scientific literature that have been peer-reviewed, as recommended by Siddaway et al [17], will be carefully searched without language restrictions and limited to human research only: Pub Med/MEDLINE, Scopus, Pro Quest, Web of Science, Science Direct, Google Scholar, and Cochrane Library databases. A manual search of reference lists of identified papers will be added to the electronic searches.
JMIR Res Protoc 2025;14:e66350
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Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study
The first was a manual approach using X Pro (previously known as Tweet Deck), a user interface provided by X that allows searching tweets given some keywords or phrases as shown in Figure 2. This approach was used based on evidence from the literature [7]. AD, OA, AA, and SQ independently conducted the search, collected the tweets, and stored them. All relevant information was stored on a Microsoft Excel sheet on a password-protected computer.
J Med Internet Res 2025;27:e54650
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Authors’ Reply: Citation Accuracy Challenges Posed by Large Language Models
The LLMs have demonstrated a propensity to generate well‐formatted yet fictitious references—a limitation largely attributed to restricted access to subscription-based databases and their reliance on probabilistic text generation [4]. As LLMs evolve, future iterations may integrate more reliable retrieval-based architectures, enhancing their capacity to cite legitimate sources while reducing fabricated references [4,5].
JMIR Med Educ 2025;11:e73698
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