TY - JOUR
T1 - Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring
T2 - State of the Art and New Directions
AU - Nunez, Roberto
AU - Harris, Alon
AU - Ibrahim, Omar
AU - Keller, James
AU - Wikle, Christopher K.
AU - Robinson, Erin
AU - Zukerman, Ryan
AU - Siesky, Brent
AU - Verticchio, Alice
AU - Rowe, Lucas
AU - Guidoboni, Giovanna
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/11
Y1 - 2022/11
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - glaucoma
KW - glaucoma diagnosis
KW - glaucoma progression
KW - mathematical modeling
KW - statistical modeling
UR - http://www.scopus.com/inward/record.url?scp=85141756453&partnerID=8YFLogxK
U2 - 10.3390/photonics9110810
DO - 10.3390/photonics9110810
M3 - Review article
AN - SCOPUS:85141756453
SN - 2304-6732
VL - 9
JO - Photonics
JF - Photonics
IS - 11
M1 - 810
ER -