Accuracy of an artificial intelligence-based mobile application for detecting cataracts: Results from a field study

Purpose: To assess the accuracy of e-Paarvai, an artificial intelligence-based smartphone application (app) that detects and grades cataracts using images taken with a smartphone by comparing with slit lamp-based diagnoses by trained ophthalmologists. Methods: In this prospective diagnostic study co...

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Veröffentlicht in:Indian journal of ophthalmology 2023-08, Vol.71 (8), p.2984-2989
Hauptverfasser: Vasan, Chandrakumar, Gupta, Sachin, Shekhar, Madhu, Nagu, Kamatchi, Balakrishnan, Logesh, Ravindran, Ravilla, Ravilla, Thulasiraj, Subburaman, Ganesh-Babu
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Sprache:eng
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Zusammenfassung:Purpose: To assess the accuracy of e-Paarvai, an artificial intelligence-based smartphone application (app) that detects and grades cataracts using images taken with a smartphone by comparing with slit lamp-based diagnoses by trained ophthalmologists. Methods: In this prospective diagnostic study conducted between January and April 2022 at a large tertiary-care eye hospital in South India, two screeners were trained to use the app. Patients aged >40 years and with a best-corrected visual acuity
ISSN:0301-4738
1998-3689
1998-3689
DOI:10.4103/IJO.IJO_3372_22