e.g. mhealth
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Skip search results from other journals and go to results- 11 Journal of Medical Internet Research
- 8 JMIR Research Protocols
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- 3 JMIR Mental Health
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Furthermore, the study provides evidence that VR-based interventions can be used to complement traditional therapies for autistic service users and suggest future studies should investigate the benefits of combining VR-interventions with speech and language therapy (SLT). While VR has the potential to host communication or language-based interventions for populations such as developmental language disorder, the need to develop neuro-affirming tools to support autistic children is pressing.
JMIR Rehabil Assist Technol 2025;12:e63235
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Applying Critical Discourse Analysis to Cross-Cultural Mental Health Recovery Research
Critical discourse analysis (CDA) is a qualitative analytical approach that critically appraises how language contributes to the production and reproduction of social inequalities through the examination of authentic uses of language [1,2]. CDA considers that linguistic expressions reflect the speakers’ and writers’ conscious or unconscious perceptions or opinions towards phenomena [1,2].
JMIR Form Res 2025;9:e64087
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With the rapid development of artificial intelligence (AI) technology, deep learning models are being increasingly and widely used in various fields, especially in natural language processing and computer vision [1,2]. In the field of natural language processing, several large pretrained models, such as Open AI’s Chat GPT and Baidu’s ERNIE Bot [3,4], have demonstrated strong text generation and understanding capabilities.
JMIR Med Inform 2025;13:e63924
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Chat Generative Pre-trained Transformer (Chat GPT) is an artificial intelligence (AI) language model based on natural language processing techniques, developed by Open AI, that is capable of generating new texts, responding to user input with conversational responses, and summarizing and translating text [1]. The model is trained on large data sets to mimic human language.
JMIR Med Educ 2024;10:e51435
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Previous studies demonstrate that a higher frequency of first-person singular pronouns use (ie, I, my), also referred to as “i Talk” or self-referential language, is a linguistic marker of general distress and is associated with negative psychological outcomes such as depression and suicidal behaviors [12-14].
JMIR Cancer 2024;10:e43070
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Language-concordant health care, or health care in a patient’s language of choice, is an important element of health accessibility that improves patient safety and comfort and facilitates an increased quality of care [1,2]. Conversely, language-discordant health care can lead to worse health outcomes, including an increased risk of mortality [2,3].
This study focused on the region of Ottawa, Ontario, Canada, where 12.5% of the population reports French as their mother tongue [4].
JMIR Form Res 2024;8:e56716
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We thus report here the results of the revised algorithm aiming to be more specific for the screening of 5 NDDs (ASD, language delay, dyspraxia, dyslexia, and ADHD) and to assess the impact of the app and support program on the reduction in PND incidence.
We ran an ecological, observational, cross-sectional, data-based study.
JMIR Public Health Surveill 2024;10:e58565
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Reference 54: Challenges of multimodality: language and the body in social interactionlanguage
J Med Internet Res 2024;26:e51695
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Togo has a literacy rate of 67%, and aside from French being the official working language, 49 local languages are widely spoken [23]. Especially in rural communities, local languages are often the predominant mother tongue. Several scholars have shown the impact of language on education outcomes in the multilingual sub-Saharan African context [24-26].
JMIR Res Protoc 2024;13:e52106
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However, clinical IE faces several challenges, such as the scarcity and heterogeneity of annotated data, the complexity and variability of clinical language, and the need for domain knowledge and expertise.
Zero-shot IE is a promising paradigm that aims to overcome these challenges by leveraging large pretrained language models (LMs) that can perform IE tasks without any task-specific training data [3].
JMIR Med Inform 2024;12:e55318
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