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Skip search results from other journals and go to results- 21 Journal of Medical Internet Research
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The first 2 workshops included people with PD, and the third and fourth involved HCPs, with all workshops enriched by technical and bioethics experts from the AI-PROGNOSIS consortium. Moreover, each workshop was facilitated by 3 researchers experienced in qualitative methods. They used a semistructured format and open-ended questions to encourage group discussions and elicit participants’ opinions and experiences.
J Med Internet Res 2025;27:e73710
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Initiatives like the i CARE-PD consortium [1] aim to develop user-friendly toolkits for constructing local integrated care networks focused on home-based, community-centered care, enabling self-management support for patients with PD [1], in which technology-enabled care (TEC) is fundamental. Nevertheless, the development and implementation of TEC has its own challenges, including usability and acceptability of the use of technology by people with PD and care partners.
J Med Internet Res 2025;27:e67986
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The list of names under the Le French Gut Consortium in the “Authors' Contributions” section were revised as follows:
Françoise Levacon and Marie-Emmanuelle Le Guern
were replaced with
Benoît Fouchaq and Oana Bernard, respectively
3. The location “Gif-sur-Yvette” was incorrectly listed in the affiliation for the Le French Gut consortium and has been removed in the corrected version.
JMIR Res Protoc 2025;14:e80127
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Data for this study were collected as part of a larger national sleep and mental health survey co-developed by the Mood Disorders Society of Canada, a nongovernmental organization advocating for mental health, as well as scientists and clinicians from the Canadian Sleep Research Consortium and the Canadian Sleep Society.
J Med Internet Res 2025;27:e68816
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Recognizing the complexity that patients face, the consortium seeks to use design methods (particularly the Metro Mapping methodology, Figure 1) to improve care paths in oncology. This involves the development of innovative prognostic models and conversation tools that consider patient experiences, values, and preferences through models partly based on artificial intelligence (AI).
JMIR Cancer 2025;11:e65566
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Recognizing the potential of transfer learning to overcome the impracticalities of building a vast and diverse dataset from scratch, the NIGHTINGALE Consortium advocates for a coordinated, large-scale research initiative at the European Union level. Such a project would aim to facilitate the collection of diverse and extensive data across multiple institutions and to create a robust pretrained AI model.
J Med Internet Res 2025;27:e67318
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The questionnaire included demographics, elements of the International Severe Acute Respiratory and Emerging Infection Consortium pediatric COVID-19 questionnaire, and several validated scales (eg, the Strengths and Difficulties Questionnaire [26]). The questionnaire ended with a final, optional, free-text response question prompting children and young people to “Please use this space if there is anything else you would like to tell us about your health or how the pandemic or lockdown have affected you.”
J Med Internet Res 2025;27:e63634
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