S
Seif E. Abdelnaem Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
1 h-index
4 pubs
21 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Seif E. Abdelnaem's research focuses on leveraging artificial intelligence, specifically large language models and generative AI, to improve patient education materials. His work investigates the quality, reliability, and accessibility of online health information. Recent publications explore the application of AI in enhancing patient understanding of conditions such as dry eye disease and retinopathy of prematurity. Abdelnaem also examines the readability and accountability of online resources related to medical conditions like leukocoria. His scholarship metrics include an h-index of 1, with 4 total publications and 18 total citations.
Metrics
- h-index: 1
- Publications: 4
- Citations: 21
Selected Publications
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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
Qais A. Dihan
Jones Institute
3 shared publications
In database
- Leveraging large language models to improve patient education on dry eye disease
- Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
Andrew D. Brown
University of Arkansas for Medical Sciences (US)
3 shared publications
- Leveraging large language models to improve patient education on dry eye disease
- Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
Ahmed B. Sallam
Ain Shams University (EG)
3 shared publications
- Leveraging large language models to improve patient education on dry eye disease
- Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
Abdelrahman M. Elhusseiny
Jones Institute
3 shared publications
In database
- Leveraging large language models to improve patient education on dry eye disease
- Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
Ana T. Zaldivar
University of Miami (US)
2 shared publications
- Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
Muhammad Z. Chauhan
Jones Institute
2 shared publications
In database
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
Amr Azzam
Cairo University hospitals (EG)
2 shared publications
- Leveraging large language models to improve patient education on dry eye disease
- Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity
Taher K. Eleiwa
1 shared publication
- Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria
Paul H. Phillips
1 shared publication
In database
- Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria
Ayman G. Elnahry
1 shared publication
- Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria
Ahmad Alzein
University of Illinois Chicago (US)
1 shared publication
- Leveraging large language models to improve patient education on dry eye disease
Sean D. Kelso
Texas Christian University (US)
1 shared publication
- Leveraging large language models to improve patient education on dry eye disease
Dania A. Rahal
University of Arkansas for Medical Sciences (US)
1 shared publication
- Leveraging large language models to improve patient education on dry eye disease
Royce Park
University of Illinois Chicago (US)
1 shared publication
- Leveraging large language models to improve patient education on dry eye disease
Mohammadali Ashraf
University of Illinois Chicago (US)
1 shared publication
- Leveraging large language models to improve patient education on dry eye disease