e.g. mhealth
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Skip search results from other journals and go to results- 12 Journal of Medical Internet Research
- 8 JMIR Research Protocols
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The US Department of Health and Human Services and the US Department of Education define dual language learners (DLLs) as children with a home language other than English who are learning 2 or more languages simultaneously or learning a second language while still developing their first language [7]. Latino DLLs are a rapidly growing segment of the population who face discrimination and unequal opportunities, predisposing them to poor educational, occupational, and health outcomes [8,9].
JMIR Pediatr Parent 2025;8:e60764
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Language, as a fundamental aspect of human communication, reflects the intricate interplay between thoughts, emotions, and experiences. Quantitative analysis of language usage has emerged as a valuable tool for providing objective measures for diagnosing and differentiating between different psychiatric disorders.
JMIR AI 2025;4:e67369
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Reference 7: Superhuman performance of a large language model on the reasoning tasks of a physician Reference 15: A language and environment for statistical computing version 4.3.1(https://www.r-project.orglanguageGenerative Language Models Including ChatGPT Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health
J Med Internet Res 2025;27:e73918
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Authors’ Reply: Enhancing AI-Driven Medical Translations: Considerations for Language Concordance
Addressing the concern regarding the reliance on board-certified dermatologists for post-translation review, we want to clarify that, in addition to being board-certified dermatologists, all reviewers were native speakers in the language they reviewed, including fluency in Mandarin at a college level. This proficiency allows for a confluence of both clinical and linguistic insights when evaluating translations, reinforcing the validity of our findings.
JMIR Med Educ 2025;11:e71721
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Enhancing AI-Driven Medical Translations: Considerations for Language Concordance
This important study highlights a critical area where artificial intelligence (AI) can potentially bridge gaps in language-concordant care. To further this research, we would like to raise several points to enrich the discussion and understanding of the findings.
The study demonstrates that while Chat GPT provides clinically usable translations for Spanish and Russian, its performance with Mandarin is suboptimal.
JMIR Med Educ 2025;11:e70420
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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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