Search Results (1 to 10 of 781 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 286 Journal of Medical Internet Research
- 89 JMIR mHealth and uHealth
- 79 JMIR Public Health and Surveillance
- 76 JMIR Research Protocols
- 73 JMIR Medical Informatics
- 70 JMIR Formative Research
- 16 Online Journal of Public Health Informatics
- 14 JMIR Mental Health
- 13 JMIR Serious Games
- 11 JMIR Human Factors
- 9 JMIR Cancer
- 8 JMIR Medical Education
- 5 Interactive Journal of Medical Research
- 5 JMIR Aging
- 4 Iproceedings
- 4 JMIR Dermatology
- 4 JMIR Pediatrics and Parenting
- 3 JMIR AI
- 3 JMIR Cardio
- 2 JMIR Diabetes
- 2 JMIR Infodemiology
- 1 Asian/Pacific Island Nursing Journal
- 1 JMIR Biomedical Engineering
- 1 JMIR Perioperative Medicine
- 1 JMIR Rehabilitation and Assistive Technologies
- 1 JMIR XR and Spatial Computing (JMXR)
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
Reference 17: Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety Reference 46: Supported web-based guided self-help for insomnia for young people attending child and
J Med Internet Res 2025;27:e69351
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
In addition, after the COVID-19 pandemic stay-at-home orders in the United States, social media platforms became an online “home” for many SGM [51,52]; however, further study on social media use by young (ie, 16‐34 years old) Black SGM is warranted.
Our findings suggest that, while we did not identify differences in betweenness centrality based on a participant’s HIV care cascade in the partial networks, we did so in the fuzzy-like network.
JMIR Public Health Surveill 2025;11:e64497
Download Citation: END BibTex RIS
Podcasts in Mental, Physical, or Combined Health Interventions for Adults: Scoping Review
The age distribution of participants spanned from young adulthood (aged ≥18 y) to older adults (aged up to 90 y), with the mean age of participants most commonly between their late 20s to mid-50s. Methodologically, the included studies primarily used randomized controlled trial designs. The assessment periods varied substantially, ranging from immediate posttest intervention evaluations to longitudinal follow-ups (12 months after baseline).
J Med Internet Res 2025;27:e63360
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
The Applications of Large Language Models in Mental Health: Scoping Review
J Med Internet Res 2025;27:e69284
Download Citation: END BibTex RIS
Jin et al [17] reported that a result from a user study using large language model framework, Trial GPT, to support patient matching resulted in a 42.6% decrease in the screening time [18]. Another AI approach is clinical trial digital twin technology [18-21]. Digital twin technology creates virtual patients that replicate individual characteristics, enabling the prediction of clinical responses [18,19,21]. By utilizing digital twins, the required sample sizes for clinical trials can be reduced [18,19,21].
JMIR AI 2025;4:e64845
Download Citation: END BibTex RIS
cumulative metabolic risk exposure and cardiovascular disease: a nationwide cohort of over 3.6 million young
J Med Internet Res 2025;27:e67525
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section