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Artificial Intelligence (AI) in Retinal Imaging

Guest Editors:
Daniela Ferrara: Tufts University School of Medicine and Genentech and Roche, USA
Rishi Singh: Cleveland Clinic Florida and Cleveland Clinic Lerner College of Medicine, USA
Theodore Leng: Byers Eye Institute at Stanford, Stanford University School of Medicine, USA

Submission Status: Closed   |   Submission Deadline: Closed


International Journal of Retina and Vitreous is calling for submissions to our collection on Artificial Intelligence (AI) in Retinal Imaging. The field of retinal imaging has seen tremendous advances in recent years, driven by the development of AI technologies, which enables the development of automated retinal imaging systems that can detect and diagnose retinal diseases with unprecedented accuracy and speed. This Special Issue of the journal is dedicated to exploring the latest advances in AI-based retinal imaging and its applications.

Image credit:  © 4X-image / Getty Images / iStock

  1. This study aimed to develop a deep learning (DL) algorithm that enhances the quality of a single-frame enface OCTA scan to make it comparable to 4-frame averaged scan without the need for the repeated acquisit...

    Authors: Omar Abu-Qamar, Warren Lewis, Luisa S. M. Mendonca, Luis De Sisternes, Adam Chin, A. Yasin Alibhai, Isaac Gendelman, Elias Reichel, Stephanie Magazzeni, Sophie Kubach, Mary Durbin, Andre J. Witkin, Caroline R. Baumal, Jay S. Duker and Nadia K. Waheed
    Citation: International Journal of Retina and Vitreous 2023 9:62
    Content type: Original article Published on:

  2. Optical coherence tomography (OCT) is the most important and commonly utilized imaging modality in ophthalmology and is especially crucial for the diagnosis and management of macular diseases. Each OCT volume ...

    Authors: Craig K. Jones, Bochong Li, Jo-Hsuan Wu, Toshiya Nakaguchi, Ping Xuan and T. Y. Alvin Liu
    Citation: International Journal of Retina and Vitreous 2023 9:60
    Content type: Original article Published on:

  4. Diabetic retinopathy (DR) is a leading cause of blindness. Our objective was to evaluate the performance of an artificial intelligence (AI) system integrated into a handheld smartphone-based retinal camera for...

    Authors: Fernando Marcondes Penha, Bruna Milene Priotto, Francini Hennig, Bernardo Przysiezny, Bruno Antunes Wiethorn, Julia Orsi, Isabelle Beatriz Freccia Nagel, Brenda Wiggers, Jose Augusto Stuchi, Diego Lencione, Paulo Victor de Souza Prado, Fernando Yamanaka, Fernando Lojudice and Fernando Korn Malerbi
    Citation: International Journal of Retina and Vitreous 2023 9:41
    Content type: Original article Published on:

About the collection

International Journal of Retina and Vitreous is calling for submissions to our collection on Artificial Intelligence (AI) in Retinal Imaging. The field of retinal imaging has seen tremendous advances in recent years, driven by the development of AI technologies, which enables the development of automated retinal imaging systems that can detect and diagnose retinal diseases with unprecedented accuracy and speed. This Special Issue of the journal is dedicated to exploring the latest advances in AI-based retinal imaging and its applications.

We invite researchers to submit original research papers that explore important aspects of AI in retinal imaging including, but not limited to, the development of AI-based retinal imaging systems, the use of AI for retinal disease diagnosis and prognosis, the use of AI for retinal image analysis and interpretation, and the use of AI for retinal image-guided interventions. We also welcome papers that explore the ethical, legal, and social implications of AI-based retinal imaging.