Seif E. Abdelnaem
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Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Seif E. Abdelnaem's research focuses on the application of artificial intelligence, particularly large language models, to enhance patient education materials. His work investigates methods to improve the comprehension and accessibility of health information for diverse patient populations. Abdelnaem has explored the use of generative AI to create educational resources for conditions such as dry eye disease and retinopathy of prematurity. He has also published research on the quality and reliability of online health information, specifically concerning leukocoria. His scholarship metrics include an h-index of 2 with 4 publications and 27 citations. Key collaborators include Andrew W. Brown and Qais A. Dihan, both from the University of Arkansas for Medical Sciences, with whom he has co-authored multiple publications.
Metrics
- h-index: 2
- Publications: 5
- Citations: 34
Selected Publications
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Incidence of Strabismus in Children With Retinopathy of Prematurity (2026)
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The role of efferocytosis in ischemic stroke and insights from retinopathy (2025)
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Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity (2025)
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Leveraging large language models to improve patient education on dry eye disease (2024)
Collaboration Network
Top Collaborators
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
- Incidence of Strabismus in Children With Retinopathy of Prematurity
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
- Leveraging large language models to improve patient education on dry eye disease
- Leveraging large language models to improve patient education on dry eye disease
- Leveraging large language models to improve patient education on dry eye disease
- Leveraging large language models to improve patient education on dry eye disease
- Leveraging large language models to improve patient education on dry eye disease
- Leveraging large language models to improve patient education on dry eye disease
- Leveraging large language models to improve patient education on dry eye disease
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
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