Search Results (1 to 10 of 4752 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 1274 Journal of Medical Internet Research
- 877 JMIR Research Protocols
- 592 JMIR Formative Research
- 379 JMIR mHealth and uHealth
- 210 JMIR Mental Health
- 203 JMIR Public Health and Surveillance
- 163 Online Journal of Public Health Informatics
- 152 JMIR Medical Informatics
- 144 JMIR Human Factors
- 90 JMIR Cancer
- 78 JMIR Pediatrics and Parenting
- 76 Iproceedings
- 69 JMIR Aging
- 58 JMIR Medical Education
- 57 JMIR Diabetes
- 46 JMIR Serious Games
- 45 JMIR Dermatology
- 44 Interactive Journal of Medical Research
- 34 JMIR Cardio
- 27 JMIR Infodemiology
- 25 JMIR Nursing
- 23 JMIR Rehabilitation and Assistive Technologies
- 21 JMIRx Med
- 17 JMIR Perioperative Medicine
- 14 JMIR AI
- 13 Journal of Participatory Medicine
- 5 JMIR Biomedical Engineering
- 4 JMIR Bioinformatics and Biotechnology
- 3 Asian/Pacific Island Nursing Journal
- 3 JMIR Neurotechnology
- 3 JMIR XR and Spatial Computing (JMXR)
- 3 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
The implementation of a metamatrix enabled us to develop a robust visual framework, aiding in identifying patterns across various data types and establishing a clear documentation trail [30].
Consultations with students and educators occurred iteratively throughout data collection, analysis, and framework development stages.
JMIR Nursing 2025;8:e75868
Download Citation: END BibTex RIS
For some APIs that allowed them, we also included a system prompt [59] to convey a public health analyst role to the LLM (Textbox 2). Such a system prompt may reduce the chance that the LLM will respond with helpful advice (such as telling the user to seek medical attention), respond with disclaimers, or refuse to answer the query.
System prompt: “You are a health analyst for a Department of Public Health.
J Med Internet Res 2025;27:e65226
Download Citation: END BibTex RIS
This transfer-learning approach, where a model is pretrained on a large dataset and subsequently fine-tuned for a specific task, is a well-established strategy in medical imaging and has demonstrated substantial efficacy.
JMIR Med Inform 2025;13:e64987
Download Citation: END BibTex RIS
Therefore, providing a precise and detailed description of data through metadata when merging heterogeneous sources enables a valid and meaningful integration aimed at ensuring traceable reuse. Metadata assists researchers and users in searching, categorizing, and interpreting data from a data warehouse. In addition, metadata ensures data consistency and facilitates data management [8,9].
JMIR Med Inform 2025;13:e60204
Download Citation: END BibTex RIS
For example, a participant noted that:
Elizabeth, who was the leader of my group [ie, writing coach] did an exceptional job of explaining the rules, guidelines, and making us feel comfortable in an environment where you are willing to express things [emotions or injury specifics] that you may not be able to or willing to talk about in every type of environment.
JMIR Form Res 2025;9:e71162
Download Citation: END BibTex RIS
HRV is a small, nonenveloped virus belonging to the Picornaviridae family and the Enterovirus genus. It has a positive-strand RNA genome of approximately 7.2 kb [1,2]. The viral genome is translated into a single polyprotein, which undergoes proteolytic processing to generate 11 distinct viral proteins (Figure 1 A). The HRV capsid is composed of 4 viral proteins (VPs): VP1, VP2, VP3, and VP4 (Figure 1 B).
JMIR Res Protoc 2025;14:e73383
Download Citation: END BibTex RIS
Beyond radiomics analysis, we evaluated Chat GPT-4 as a tool for distinguishing normal from abnormal cases based on imaging findings. We aimed to demonstrate its capability as a supportive tool in clinical settings. Such a tool could significantly reduce the workload of radiologists by efficiently filtering out normal cases, allowing them to focus their expertise on more complex and abnormal cases.
JMIR AI 2025;4:e68144
Download Citation: END BibTex RIS
For example, a user may ask Chat GPT to “Write a thank you note to an old friend of my parents”; in this case, the text within the quotation marks is a discrete prompt. Soft prompting (or continuous prompting) uses a machine learning approach to train a sequence of continuous vectors, which are the “virtual tokens” of the prompt. It is worth noting that soft prompting differs from fine tuning. With soft prompting, the LLM parameters are not updated, only the soft prompt parameters are adjusted.
JMIR Bioinform Biotech 2025;6:e70706
Download Citation: END BibTex RIS
Previous needs assessments [12-14] have identified the need for virtual self-management interventions incorporating peer support and for standards of technology delivery and guidance for effective virtual communications in a group setting [20,21].
Our aim is to conduct a pilot multicenter randomized controlled trial (RCT) to evaluate the feasibility and preliminary effectiveness of a virtual group-based SMP for adolescents with JIA in comparison to a waitlist control group.
JMIR Res Protoc 2025;14:e69539
Download Citation: END BibTex RIS
If the study participant is transferred from a nonstudy site to a study site, the data collection form will be completed by the initial treating physician at the study site; if the study participant is transferred from a study site to a second study site, this will ideally be completed by the initial treating physician at the first study site.
JMIR Res Protoc 2025;14:e67941
Download Citation: END BibTex RIS