Search Results (1 to 10 of 596 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 230 Journal of Medical Internet Research
- 83 JMIR Public Health and Surveillance
- 55 JMIR Medical Informatics
- 54 JMIR mHealth and uHealth
- 42 JMIR Formative Research
- 26 JMIR Research Protocols
- 21 JMIR Serious Games
- 14 JMIR Medical Education
- 11 Interactive Journal of Medical Research
- 10 JMIR Cancer
- 10 JMIR Human Factors
- 10 Online Journal of Public Health Informatics
- 7 JMIR Aging
- 5 JMIR Mental Health
- 4 JMIR AI
- 4 JMIR Dermatology
- 3 JMIR Pediatrics and Parenting
- 2 Iproceedings
- 2 JMIR Bioinformatics and Biotechnology
- 1 JMIR Biomedical Engineering
- 1 JMIR Diabetes
- 1 JMIR Infodemiology
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
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
Go back to the top of the page Skip and go to footer section

Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
For instance, Huang et al [19] demonstrated that providing LLMs with example outputs for few-shot learning and chain-of-thought reasoning methods for prompting yielded higher classification performance compared to baseline zero-shot applications of LLMs for data extraction. The careful design of prompting methodologies personalized to specific tasks and clinical domains within oncology may yield more accurate and efficient data extraction performance [49].
JMIR Cancer 2025;11:e65984
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section

AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis
J Med Internet Res 2025;27:e67922
Download Citation: END BibTex RIS

Jo-Ying Huang et al [19] developed indicators of age-friendliness for communities in Taiwan province that conform to international standards by referring to the WHO’s Checklist and Taiwan’s existing indicators. Yu, Wong, and Woo [20] examined the relationships between perceptions of neighborhood environment, sense of community, and self-rated health by relying on the WHO Checklist. Wood et al [21] conducted a systematic scoping review of 23 articles using citizen science or participatory approaches.
JMIR Public Health Surveill 2025;11:e66248
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section