Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring: State of the Art and New Directions

Roberto Nunez, Alon Harris, Omar Ibrahim, James Keller, Christopher K. Wikle, Erin Robinson, Ryan Zukerman, Brent Siesky, Alice Verticchio, Lucas Rowe, Giovanna Guidoboni

Research output: Contribution to journalReview articlepeer-review


Recent developments in the use of artificial intelligence in the diagnosis and monitoring of glaucoma are discussed. To set the context and fix terminology, a brief historic overview of artificial intelligence is provided, along with some fundamentals of statistical modeling. Next, recent applications of artificial intelligence techniques in glaucoma diagnosis and the monitoring of glaucoma progression are reviewed, including the classification of visual field images and the detection of glaucomatous change in retinal nerve fiber layer thickness. Current challenges in the direct application of artificial intelligence to further our understating of this disease are also outlined. The article also discusses how the combined use of mathematical modeling and artificial intelligence may help to address these challenges, along with stronger communication between data scientists and clinicians.

Original languageEnglish
Article number810
Issue number11
StatePublished - Nov 2022


  • artificial intelligence
  • glaucoma
  • glaucoma diagnosis
  • glaucoma progression
  • mathematical modeling
  • statistical modeling


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