Artificial intelligence in chorioretinal pathology through fundoscopy: a comprehensive review
Matthew Driban1, Audrey Yan2, Amrish Selvam1
1Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
International Journal of Retina and Vitreous
|April 23, 2024
Summary
Artificial intelligence (AI) is transforming ophthalmology, particularly in fundoscopy for diagnosing conditions like diabetic retinopathy. Understanding AI applications and limitations is crucial for future patient care and innovation in eye care.
Area of Science:
- Ophthalmology
- Medical Imaging
- Artificial Intelligence
Background:
- Fundoscopy remains a key imaging technique for the posterior segment of the eye.
- Artificial intelligence (AI) applications in ophthalmology are rapidly advancing.
- AI is utilized in fundoscopy for segmentation, classification, and prediction tasks.
Purpose of the Study:
- To review the applications of AI in fundoscopy for chorioretinal pathologies.
- To discuss current limitations and future directions of AI in fundoscopy.
Main Methods:
- Literature review of AI applications in fundoscopy.
- Focus on representative chorioretinal diseases such as diabetic retinopathy and age-related macular degeneration.
Main Results:
- AI demonstrates significant potential in analyzing fundus images for various ophthalmic conditions.
- AI tools can aid in the early detection and management of diseases like diabetic retinopathy and AMD.
Conclusions:
- AI integration is becoming essential for ophthalmologists to enhance patient outcomes.
- Continued understanding and development of AI in fundoscopy will drive innovation in eye care.
Keywords:
Age-related macular degenerationArtificial intelligenceChoroidDeep learningDiabetic retinopathyFundoscopyFundusMachine learning
