The Impact of Anatomic Racial Variations on Artificial Intelligence Analysis of Filipino Retinal Fundus Photographs Using an Image-Based Deep Learning Model

The Impact of Anatomic Racial Variations on Artificial Intelligence Analysis of Filipino Retinal Fundus Photographs Using an Image-Based Deep Learning Model

Objectives: This study evaluated the accuracy of an artificial intelligence (AI) model in identifying retinal lesions, validated its performance on a Filipino population dataset, and evaluated the impact of dataset diversity on AI analysis accuracy. Methods: This cross-sectional, analytical, inst...

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Bibliographic Details
Main Authors: Carlo A. Kasala, MD, Kaye Lani Rea B. Locaylocay, MD-MBA, Paolo S. Silva, MD
Format: Article
Language:English
Published: Philippine Academy of Ophthalmology 2024-12-01
Series:Philippine Journal of Ophthalmology
Subjects:
artificial intelligence
deep learning
retinal imaging
dataset diversity
racial variations
Online Access:https://paojournal.com/index.php/pjo/article/view/522
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