Glaucoma screening: Where are we and where do we need to go?

Nicholas Y.Q. Tan, David S. Friedman, Ingeborg Stalmans, Iqbal Ike K. Ahmed, Chelvin C.A. Sng

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations

Abstract

Purpose of review Current recommendations for glaucoma screening are decidedly neutral. No studies have yet documented improved long-term outcomes for individuals who undergo glaucoma screening versus those who do not. Given the long duration that would be required to detect a benefit, future studies that may answer this question definitively are unlikely. Nevertheless, advances in artificial intelligence and telemedicine will lead to more effective screening at lower cost. With these new technologies, additional research is needed to determine the costs and benefits of screening for glaucoma. Recent findings Using optic disc photographs and/or optical coherence tomography, deep learning systems appear capable of diagnosing glaucoma more accurately than human graders. Eliminating the need for expert graders along with better technologies for remote imaging of the ocular fundus will allow for less expensive screening, which could enable screening of individuals with otherwise limited healthcare access. In India and China, where most glaucoma remains undiagnosed, glaucoma screening was recently found to be cost-effective. Summary Recent advances in artificial intelligence and telemedicine have the potential to increase the accuracy, reduce the costs, and extend the reach of screening. Further research into implementing these technologies in glaucoma screening is required.

Original languageEnglish (US)
Pages (from-to)91-100
Number of pages10
JournalCurrent opinion in ophthalmology
Volume31
Issue number2
DOIs
StatePublished - Mar 1 2020
Externally publishedYes

Keywords

  • artificial intelligence
  • deep learning
  • glaucoma
  • health economics
  • screening
  • telemedicine

ASJC Scopus subject areas

  • Ophthalmology

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