Research & Innovation
Publications
Artificial Intelligence in Ophthalmology - Status Quo and Future Perspectives
PMU Author
Alexander C Rokohl
All Authors
Philomena A Wawer Matos, Robert P Reimer, Alexander C Rokohl, Liliana Caldeira, Ludwig M Heindl, Nils Große Hokamp
Journal association
Seminars in ophthalmology
Abstract
Artificial intelligence (AI) is an emerging technology in healthcare and holds the potential to disrupt many arms in medical care. In particular, disciplines using medical imaging modalities, including e.g. radiology but ophthalmology as well, are already confronted with a wide variety of AI implications. In ophthalmologic research, AI has demonstrated promising results limited to specific diseases and imaging tools, respectively. Yet, implementation of AI in clinical routine is not widely spread due to availability, heterogeneity in imaging techniques and AI methods. In order to describe the status quo, this narrational review provides a brief introduction to AI ("what the ophthalmologist needs to know"), followed by an overview of different AI-based applications in ophthalmology and a discussion on future challenges.Abbreviations: Age-related macular degeneration, AMD; Artificial intelligence, AI; Anterior segment OCT, AS-OCT; Coronary artery calcium score, CACS; Convolutional neural network, CNN; Deep convolutional neural network, DCNN; Diabetic retinopathy, DR; Machine learning, ML; Optical coherence tomography, OCT; Retinopathy of prematurity, ROP; Support vector machine, SVM; Thyroid-associated ophthalmopathy, TAO.
Keywords
Humans, Artificial Intelligence, Machine Learning, Diabetic retinopathy, Neural Networks, Computer, Ophthalmology/methods