e.g. mhealth
Search Results (1 to 10 of 55 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 15 JMIRx Med
- 12 JMIR Formative Research
- 12 Journal of Medical Internet Research
- 6 JMIR Medical Informatics
- 3 JMIR Research Protocols
- 2 JMIR Medical Education
- 2 JMIR mHealth and uHealth
- 1 JMIR Human Factors
- 1 JMIR Pediatrics and Parenting
- 1 JMIR Perioperative Medicine
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Public Health and Surveillance
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Aging
- 0 JMIR Nursing
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
One paper reported that Chat GPT based upon the GPT-3 architecture had similar accuracy in diagnosing patients with primary and secondary glaucoma compared with senior ophthalmology residents [10] Furthermore when compared with the established differential diagnosis software, Isabel Pro Differential Diagnosis Generator, Chat GPT outperformed Isabel in the diagnosis of ophthalmic conditions by correctly identifying 9 of 10 cases compared to 1 of 10 by Isabel [11].
JMIR Form Res 2025;9:e64986
Download Citation: END BibTex RIS
This prospective observational study was conducted at the department of ophthalmology of the Hanusch Hospital, Vienna, Austria. The study included 30 eyes of 30 patients who met the inclusion criteria and were scheduled for membrane peeling with vitrectomy for i ERM. Eligibility criteria included the presence of i ERM, age above 18 years, written informed consent, best distance-corrected visual acuity (DCVA) ≤1.0 log MAR and metamorphopsia detected on the Amsler grid.
JMIR Perioper Med 2025;8:e60959
Download Citation: END BibTex RIS
However, another study revealed that LLMs achieved only a 45% accuracy rate in identifying information for retinal disease patients, indicating significant gaps in their clinical application in ophthalmology [19]. To date, no studies have assessed LLM performance in educating Chinese patients about patients with OMG.
Although several studies have explored the application of LLMs in consultation processes and diagnostic capabilities within Chinese ophthalmology subspecialties, research remains limited.
J Med Internet Res 2025;27:e67883
Download Citation: END BibTex RIS
The nurse at the ophthalmology clinic invited older adult participants to the CHC for in-depth interviews, while ASHA workers contacted older adult participants in the community to conduct interviews at homes.
The second group of participants, HCPs, were purposely selected according to their roles in diabetes and DR diagnosis, referral, and treatment (Table S1 in Multimedia Appendix 1).
JMIR Form Res 2025;9:e67047
Download Citation: END BibTex RIS
Such an intervention would address the loss of follow-up to specialty ophthalmology clinics for complete ophthalmologic examinations in low socioeconomic status patients with eye disease. Early intervention may allow for the timely, evidence-based management of eye disease and prevent late-stage morbidities such as progressive loss of vision and permanent blindness.
JMIR Res Protoc 2025;14:e52650
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
It is important for the readers to avoid making generalizations from the findings of our study toward all published scientific articles in the field of ophthalmology or, more broadly, medicine.
J Med Internet Res 2024;26:e59843
Download Citation: END BibTex RIS
In ophthalmology, LLMs show promise both for ophthalmic certification exams [5] and interpreting imaging reports across various linguistic environments [6,7]. However, there are several limitations to existing LLMs. First, there are challenges with addressing specialized ophthalmology knowledge for general LLMs. Previous research has demonstrated the suboptimal performance of Chat GPT in ophthalmology, with only 15.4% of the responses graded as completely accurate in vitreoretinal disease [8].
J Med Internet Res 2024;26:e60063
Download Citation: END BibTex RIS
Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study
Artificial intelligence (AI) has significantly advanced in health care, particularly in many areas of ophthalmology [1,2]. Chat GPT (Open AI) [3] is a generative AI featuring a chatbot interface. Benefiting from its expansive knowledge base and complex parameterization, it enables users to input queries and receive responses that showcase advanced, humanlike logic. Since its launch in November 2022, Chat GPT has quickly amassed a substantial user base.
J Med Internet Res 2024;26:e60226
Download Citation: END BibTex RIS