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Now can be seen on American Academy of Ophthalmology (AAO):

American Academy Ophthalmology

Current Issue

April-June 2022| Vol 12| Issue 2


Current status of artificial intelligence for medicine

The application of deep learning in ophthalmology began with the diagnosis of diabetic retinopathy by a Google team,[1] and they are currently actively working on its real-world implemen...

Review Article

Understanding required to consider AI applications to the field of ophthalmology

Applications of artificial intelligence technology, especially deep learning, in ophthalmology research have started with the diagnosis of diabetic retinopathy and have now expanded to all areas of ...

Review Article

Lightning injuries of the posterior segment of the eye

Lightning causes serious injuries and deaths worldwide every year. Ophthalmic injuries due to lightning are due to direct or indirect transmission of electric current, resistance-induced heat, and h...

Review Article

Subretinal drusenoid deposits: An update

A wide spectrum of phenotypic manifestations characterizes age-related macular degeneration (AMD). Drusen is considered the hallmark of AMD and is located underneath the retinal pigment epithelium (...

Original Article

Real-time artificial intelligence evaluation of cataract surgery: A preliminary study on demonstration experiment

PURPOSE: We demonstrated real-time evaluation technology for cataract surgery using artificial intelligence (AI) to residents and supervising doctors (doctors), and performed a comparison bet...

View All Articles in the Current Issue
ISSN - Print: 2211-5056,
Online: 2211-5072

Taiwan Journal of Ophthalmology is the official, peer-reviewed ,Quarterly, open access journal of the Ophthalmological Society of Taiwan (TOS), founded in May 1960 and is committed to active participation in eye care and the promotion of scientific research in ophthalmology.

Journal Metrics
CiteScore 2021: 1.6

Features of Manuscript Management System

  • Online submission
  • Wider visibility through open access
  • Higher impact
  • Prompt review

Abstracting and Indexing Information

The journal is registered with the following abstracting partners:
Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TDNet, Wanfang Data

The journal is indexed with, or included in, the following:
DOAJ, Emerging Sources Citation Index, PubMed Central, SCOPUS, Web of Science