Ultra-widefield color fundus images and artificial intelligence for diagnosis of diabetic retinopathy: A systematic review and meta-analysis
- DOI
- 10.1097/iae.0000000000004939
- Published
- 2026-07-24
- Container
- Retina
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1097/iae.0000000000004939,
title = {Ultra-widefield color fundus images and artificial intelligence for diagnosis of diabetic retinopathy: A systematic review and meta-analysis},
author = {Kunihiko Hirosawa and Takenori Inomata and Ken Nagino and Jaemyoung Sung and Akie Midorikawa-Inomata and Atsuko Eguchi and Kenta Fujio and Hiroyuki Kobayashi and Shintaro Nakao},
year = {2026},
journal = {Retina},
doi = {10.1097/iae.0000000000004939},
url = {https://doi.org/10.1097/iae.0000000000004939}
}RIS
TY - JOUR TI - Ultra-widefield color fundus images and artificial intelligence for diagnosis of diabetic retinopathy: A systematic review and meta-analysis AU - Kunihiko Hirosawa AU - Takenori Inomata AU - Ken Nagino AU - Jaemyoung Sung AU - Akie Midorikawa-Inomata AU - Atsuko Eguchi AU - Kenta Fujio AU - Hiroyuki Kobayashi AU - Shintaro Nakao PY - 2026 JO - Retina DO - 10.1097/iae.0000000000004939 UR - https://doi.org/10.1097/iae.0000000000004939 ER -
APA
Hirosawa, K., Inomata, T., Nagino, K., Sung, J., Midorikawa-Inomata, A., Eguchi, A., Fujio, K., Kobayashi, H., & Nakao, S. (2026). Ultra-widefield color fundus images and artificial intelligence for diagnosis of diabetic retinopathy: A systematic review and meta-analysis. Retina. https://doi.org/10.1097/iae.0000000000004939
Source records
- crossref · retrieved 2026-09-27T16:00:44.679Z