The Role of Artificial Intelligence in the Diagnosis and Management of Glaucoma
Current Ophthalmology Reports, ISSN: 2167-4868, Vol: 7, Issue: 2, Page: 136-142
2019
- 6Citations
- 30Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Review Description
Purpose of Review: The goal of this review is to highlight the application of artificial intelligence (AI) in the diagnosis and management of glaucoma. Recent Findings: Numerous AI strategies have been reported that could potentially help interpret clinical data and imaging studies relevant to glaucoma. Summary: Groups around the world have developed and evaluated AI programs that gather data from diagnostic modalities—including optical coherence tomography, fundus photography, visual fields, and other clinical ophthalmological features—that assist in the diagnosis and management of glaucoma with a high accuracy. AI has the potential to play a significant role in the diagnosis and management of glaucoma.
Bibliographic Details
Springer Science and Business Media LLC
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