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Integrating artificial intelligence in strabismus management: current research landscape and future directions
Dawen Wu1,2, Xi Huang1,3, Liang Chen1,2
1Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China.
Experimental Biology and Medicine (Maywood, N.J.)
|December 10, 2024
Summary
Artificial intelligence (AI) improves strabismus management, enhancing diagnosis and surgical planning. Future AI development requires diverse data and integrated platforms for broader patient care.
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Medical Technology
Background:
- Artificial intelligence (AI) is increasingly utilized in healthcare.
- Strabismus management presents opportunities for AI-driven improvements.
Purpose of the Study:
- To review the impact of AI on strabismus management.
- To identify current challenges and future directions for AI in ophthalmology.
Main Methods:
- Literature review of AI applications in strabismus.
- Analysis of deep learning's role in diagnosis and surgical planning.
Main Results:
- AI, particularly deep learning, enhances diagnostic accuracy and surgical outcomes in strabismus.
- Current AI systems face challenges with data diversity and single-source reliance.
Conclusions:
- Inclusive AI systems are crucial for equitable strabismus care.
- Future research should focus on large model technologies, multimodal data integration, and comprehensive management platforms to address diverse patient needs.
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