Diagnostic Accuracy of Artificial Intelligence in Glaucoma Screening and Clinical Practice.

Journal: Journal of glaucoma

Published Date: May 1, 2022

Abstract

PURPOSE: Artificial intelligence (AI) has been shown as a diagnostic tool for glaucoma detection through imaging modalities. However, these tools are yet to be deployed into clinical practice. This meta-analysis determined overall AI performance for glaucoma diagnosis and identified potential factors affecting their implementation.

Authors

Abadh K Chaurasia

Menzies Institute for Medical Research, School of Medicine, University of Tasmania, Tasmania.
Connor J Greatbatch

Menzies Institute for Medical Research, School of Medicine, University of Tasmania, Tasmania.
Alex W Hewitt

Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.

Keywords

Algorithms Artificial Intelligence Bias Glaucoma Humans Intraocular Pressure Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (35302538)

Diagnostic Accuracy of Artificial Intelligence in Glaucoma Screening and Clinical Practice.

Abstract

Authors

Keywords

External Resources

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