e.g. mhealth
Search Results (1 to 10 of 236 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 50 JMIR Formative Research
- 49 Journal of Medical Internet Research
- 32 JMIR mHealth and uHealth
- 16 JMIR Human Factors
- 15 JMIR Research Protocols
- 9 JMIR Medical Informatics
- 8 JMIR Diabetes
- 7 JMIR Public Health and Surveillance
- 6 JMIR Aging
- 6 JMIR Medical Education
- 5 JMIRx Med
- 4 JMIR Cancer
- 4 JMIR Dermatology
- 4 JMIR Pediatrics and Parenting
- 4 JMIR Rehabilitation and Assistive Technologies
- 3 Interactive Journal of Medical Research
- 3 JMIR Cardio
- 3 JMIR Mental Health
- 2 JMIR Nursing
- 1 JMIR AI
- 1 JMIR Bioinformatics and Biotechnology
- 1 JMIR Biomedical Engineering
- 1 JMIR Perioperative Medicine
- 1 JMIR Serious Games
- 1 Online Journal of Public Health Informatics
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
understand continued intention to use mobile applications: a four-country study of mobile social media application Reference 83: Influencing factors of acceptance and use behavior of mobile health application users:application
JMIR Aging 2025;8:e66610
Download Citation: END BibTex RIS
Annual scientific production of articles focused on the application of machine learning in HIV testing.
The output in Table 3 presents the top 10 most productive and influential journals that publish studies focused on machine learning and emerging health technologies in HIV testing–related topics. Among them, AIDS and Behavior ranked at the top of the list, marked by the highest h-index (10), number of citations (494), and number of publications (19).
Interact J Med Res 2025;14:e64829
Download Citation: END BibTex RIS
As Thomassin-Naggara et al [33] noted, the integration of such standards strengthens training data and provides a solid foundation for the broader application of AI in clinical practice. Standardizing the AI training and annotation process is essential for the accurate identification and classification of mammographic features, which are critical for early cancer detection. Without standardization, inconsistent labeling can introduce biases that undermine the performance of the algorithm.
J Med Internet Res 2025;27:e62941
Download Citation: END BibTex RIS
The mobile application installation guide was addressed to clinicians in case they need to install the m-RESIST solution in patients’ devices. This guide details the steps to download the m-RESIST application and install it on the smartphone and the smartwatch. The mobile application user guide was addressed to patients, caregivers, and clinicians and described the functionalities of the m-RESIST app working together with the smartwatch, once the app was installed on the Android smartphone provided.
JMIR Hum Factors 2025;12:e67659
Download Citation: END BibTex RIS
Research assistants encouraged participants to use this application to learn more about AF, its management, and the tracking of medications and symptoms. Participants in the control arms of both trials received an informational session from study team members providing a brief overview of AF and complications such as stroke, heart functioning, and signs of an impending stroke derived from American Heart Association educational materials.
JMIR Cardio 2025;9:e66436
Download Citation: END BibTex RIS
The application facilitates the development of a graded exercise rehabilitation program for patients and aids them in self-monitoring the program’s implementation. The main objective was to assess the effects of using a CV-graded exercise intervention application (after 6 weeks) on clinical outcomes (pain and physical function) among patients diagnosed with KOA. The secondary outcome was to investigate the effects of application implementation on the affective state and self-efficacy of patients with KOA.
JMIR Mhealth Uhealth 2025;13:e63022
Download Citation: END BibTex RIS
The Applications of Large Language Models in Mental Health: Scoping Review
Therefore, the application of LLMs in mental health is expanding across diverse domains [13-16].
Researchers have explored the applications of LLMs in mental health in various areas, encompassing screening or detecting mental disorders [17-19], supporting clinical treatments and interventions [20-22], and assisting in mental health counseling and education [17,20,23,24].
J Med Internet Res 2025;27:e69284
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Additionally, it shows the results of validation and quality assessment of the mobile application “CONTIGO” by using the MARS, which allows m Health developers to maximize the application’s benefits to significantly impact the patient [22,30-36].
This study employed a mixed methods approach. This methodology is presented in two sections: (1) design a mobile application, and (2) validation and quality assessment.
JMIR Hum Factors 2025;12:e60169
Download Citation: END BibTex RIS
AI tools are strongly related with data mining and AI is nowadays ranked among the top-10 technology, whichever the application [9]. Despite their limitations, AI tools and techniques that are still in their infancy already provide substantial benefits in providing in-depth knowledge on individuals’ health and predicting population health risks. Their use for medicine and public health is expected to increase substantially in the near future [10].
JMIR Form Res 2025;9:e37160
Download Citation: END BibTex RIS