Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages.

Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages.

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<h4>Purpose</h4>Leveraging an artificial intelligence system (AI) for glaucoma screening can mitigate the current challenges and provide prompt detection and management crucial in averting irreversible blindness. The study reports the real-world performance of a glaucoma AI system deploy...

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Bibliographic Details
Main Authors: Sirisha Senthil, Divya Parthasarathy Rao, Florian M Savoy, Kalpa Negiloni, Shreya Bhandary, Raghava Chary, Garudadri Chandrashekar
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0324883
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https://doi.org/10.1371/journal.pone.0324883

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