Search Results (1 to 10 of 1231 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 312 Journal of Medical Internet Research
- 284 JMIR Research Protocols
- 125 JMIR mHealth and uHealth
- 123 JMIR Formative Research
- 64 JMIR Public Health and Surveillance
- 41 JMIR Mental Health
- 36 JMIR Human Factors
- 32 JMIR Medical Informatics
- 23 JMIR Serious Games
- 22 JMIR Cancer
- 20 JMIR Aging
- 20 JMIR Medical Education
- 18 JMIR Rehabilitation and Assistive Technologies
- 13 JMIR Pediatrics and Parenting
- 12 Interactive Journal of Medical Research
- 12 Online Journal of Public Health Informatics
- 9 JMIR Cardio
- 9 JMIR Dermatology
- 9 JMIR Diabetes
- 7 JMIR AI
- 6 JMIR Infodemiology
- 6 JMIR Perioperative Medicine
- 6 JMIRx Med
- 5 JMIR Bioinformatics and Biotechnology
- 4 JMIR Nursing
- 4 Journal of Participatory Medicine
- 3 Iproceedings
- 2 JMIR XR and Spatial Computing (JMXR)
- 1 Asian/Pacific Island Nursing Journal
- 1 JMIR Biomedical Engineering
- 1 JMIR Neurotechnology
- 1 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
Addendum to "Harnessing ChatGPT for Thematic Analysis: Are We Ready?"
J Med Internet Res 2025;27:e68963
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
Go back to the top of the page Skip and go to footer section

Remapping Body Representation Using Virtual Reality in Chronic Neuropathic Pain: Systematic Review
J Med Internet Res 2025;27:e71074
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section

Understanding Gender-Specific Daily Care Preferences: Topic Modeling Study
J Med Internet Res 2025;27:e64160
Download Citation: END BibTex RIS

Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review
JMIR Hum Factors 2025;12:e67350
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section

Data entry was performed daily by 3 researchers (CB, SB, and IZ), who decoded the PDATs using a predefined classification system and entered the information into a Microsoft Excel spreadsheet for further analysis. The collected data will serve to compare consumption patterns with sensory characteristics in order to identify key factors influencing meal acceptance.
JMIR Res Protoc 2025;14:e57507
Download Citation: END BibTex RIS