Collection Overview
Artificial intelligence (AI) and innovative technologies are transforming ophthalmology by enabling faster, more accurate and personalized diagnosis and treatment of various eye diseases. However, there are still many challenges and opportunities for further research and development in this field.

This Methods Collection aims to showcase the latest advances and applications of AI and innovative technologies in ophthalmology, covering topics such as:

· AI-based screening and diagnosis of diabetic retinopathy, glaucoma, age-related macular degeneration, and other common eye diseases

· AI-based prediction and prognosis of disease progression and outcomes

· AI-based assistance and guidance for surgical and therapeutic interventions

· Innovative technologies for teleophthalmology, remote patient monitoring and eye care delivery

· Ethical, legal, and social implications of AI and innovative technologies in ophthalmology

The objective of this Methods Collection is to provide a comprehensive and up-to-date overview of the current state-of-the-art and future directions of AI and innovative technologies in ophthalmology. It will also highlight the best practices, challenges, and limitations of these methods, as well as their potential impact on the research community and clinical practice. This collection will be valuable for researchers, clinicians, students, and policymakers involved or interested in applying AI and innovative technologies in ophthalmology.