Search Results (1 to 10 of 504 Results)
Download search results: CSV END BibTex RIS
CSV download: Download all 504 search results
(up to 5,000 articles maximum)
- 171 Journal of Medical Internet Research
- 56 JMIR Medical Informatics
- 54 JMIR mHealth and uHealth
- 37 JMIR Research Protocols
- 36 JMIR Formative Research
- 36 JMIR Public Health and Surveillance
- 15 JMIR Serious Games
- 14 Online Journal of Public Health Informatics
- 10 JMIR Medical Education
- 9 Interactive Journal of Medical Research
- 7 JMIR Aging
- 7 JMIR Human Factors
- 7 JMIR Mental Health
- 6 JMIR Cancer
- 6 JMIR Pediatrics and Parenting
- 5 JMIR AI
- 5 JMIR Dermatology
- 4 JMIR Infodemiology
- 4 JMIRx Med
- 3 JMIR Cardio
- 2 Iproceedings
- 2 JMIR Diabetes
- 2 JMIR Perioperative Medicine
- 1 Asian/Pacific Island Nursing Journal
- 1 JMIR Bioinformatics and Biotechnology
- 1 JMIR Biomedical Engineering
- 1 JMIR Nursing
- 1 JMIR XR and Spatial Computing (JMXR)
- 1 Journal of Participatory Medicine
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
The study protocol was approved by the institutional review board of Chang Gung Memorial Hospital (202202256 B0).
As previously described in our earlier work [10], the scaphoid fracture classification model was built using an Efficient Net B1 [13] backbone and 240×240-pixel red, green, and blue (RGB) images with a classification threshold of 0.5. In a study by Yoon et al [10], the model was originally trained and validated using 3991 scaphoid fracture radiographs and 5542 normal scaphoid radiographs.
JMIR Med Inform 2026;14:e65596
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
In our previous work proposed by Chang et al [11], the author first extracted traditional acoustic feature sets, extended Geneva Minimalistic Acoustic Parameter Set [12], from AM audio files collected across multiple visits. The author then used Tab Net [13] to learn the cognitive information embedded within these feature sets. To further enhance the model, an aging alignment loss was applied, encouraging cognitive representations in the latent space to be closer to each other.
JMIR Med Inform 2026;14:e80883
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
The protocol for this study was submitted for review to the Institutional Review Board of Chang Gung Medical Foundation (202301168 B0), which granted an exemption from formal Institutional Review Board oversight. This study complies with the terms of the Nationwide Inpatient Sample (NIS) data-use agreement. The data used in this study were obtained through the Online Health Care Cost and Utilization Project (HCUP) Central Distributor.
JMIR Med Inform 2026;14:e76424
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