1. AI is transforming ophthalmology with advanced models.
2. Foundation models enable multi-tasking in diagnosis and reporting.
3. Data diversity presents a challenge for equitable AI deployment.
4. Clinician trust is essential for accepting AI tools.
5. Collaboration among diverse professionals is key to effective AI development.
6. The goal is to achieve AI equity for all patients, regardless of resource availability.
7. Human oversight should be integrated with AI workflows to ensure safety.