SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease

SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease

Purpose: Rare disease diagnosis is challenging in medical image-based artificial intelligence due to a natural class imbalance in datasets, leading to biased prediction models. Inherited retinal diseases (IRDs) are a research domain that particularly faces this issue. This study investigates the app...

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Bibliographic Details
Main Authors: Yoga Advaith Veturi, MSc, William Woof, PhD, Teddy Lazebnik, PhD, Ismail Moghul, PhD, Peter Woodward-Court, PhD, MBBS, Siegfried K. Wagner, BMBCh, Thales Antonio Cabral de Guimarães, PhD, MD, Malena Daich Varela, PhD, MD, Bart Liefers, PhD, Praveen J. Patel, MBBChir MD(Res), Stephan Beck, PhD, Andrew R. Webster, FRCOphth, Omar Mahroo, PhD, MBBChir, Pearse A. Keane, MD, MB BCH BAO, Michel Michaelides, MD, Konstantinos Balaskas, MD, Nikolas Pontikos, PhD
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Ophthalmology Science
Subjects:
Synthetic data
Deep Learning
Generative Adversarial Networks
Inherited Retinal Diseases
Class imbalance
Clinical Decision-Support Model
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914522001476

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http://www.sciencedirect.com/science/article/pii/S2666914522001476

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