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The application of artificial intelligence-generated content in ophthalmology education
Yinzongxiao Wang1, Yun Zhao1, Jia Li1
1Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Frontiers in Medicine
|August 4, 2025
Summary
Generative artificial intelligence (AI) content offers significant potential in ophthalmology education for lesson plans and diagnostics. However, challenges like patient privacy and content accuracy must be addressed for effective implementation.
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Medical Education
Background:
- Generative artificial intelligence (AI) is increasingly impacting healthcare.
- AI-generated content (AIGC) shows promise for advancing ophthalmology education.
Purpose of the Study:
- To provide an overview of AI and its applications in ophthalmology.
- To explore the role, challenges, and future prospects of AIGC in ophthalmology education.
Main Methods:
- Literature review of AI and AIGC in ophthalmology.
- Analysis of AIGC applications in lesson planning, simulated cases, and disease diagnosis.
- Discussion of challenges and future development directions.
Main Results:
- AIGC is valuable for ophthalmology education, aiding in lesson plan generation, simulated cases, and disease diagnosis.
- Key challenges include ensuring patient privacy and maintaining the accuracy of AI-generated content.
- Significant potential exists for AIGC to enhance ophthalmology training and practice.
Conclusions:
- AI-generated content has a crucial role in the future of ophthalmology education.
- Addressing privacy and accuracy concerns is vital for the responsible integration of AIGC.
- Further research and development are needed to fully leverage AIGC's potential in ophthalmology.
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