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Gaps and future of human-centered artificial intelligence in ophthalmology: Future Vision Forum consensus statement.
Daniel Shu Wei Ting1,2,3, Mark S Humayun4,5,6, Suber S Huang7,8
1Singapore Eye Research Institute, Singapore National Eye Center.
Current Opinion in Ophthalmology
|July 17, 2023
Summary
Establishing a centralized ophthalmology clinical trial database requires standardizing data and overcoming ethical concerns. Federated learning and incentives can accelerate AI innovation and rare disease research for better trial outcomes.
Area of Science:
- Ophthalmology
- Health Informatics
- Artificial Intelligence
Background:
- The digitization of healthcare data and electronic health record (EHR) adoption are progressing in ophthalmology.
- Significant barriers hinder the implementation of a unified, specialty-wide clinical trial database.
Conclusions:
- A specialty-wide clinical trial database offers potential for deep insights into disease natural history, pathophysiology, and trial failures.
- Overcoming implementation barriers necessitates ongoing dialogue, collaboration, and collective action among ophthalmology stakeholders.
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