A deep learning model for diagnosis of inherited retinal diseases

A deep learning model for diagnosis of inherited retinal diseases

Abstract To evaluate the performance of a multi-input deep learning (DL) model in detecting two common inherited retinal diseases (IRDs), i.e. retinitis pigmentosa (RP) and Stargardt disease (STGD), and differentiating them from healthy eyes. This cross-sectional study includes 391 cases, consisting...

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Main Authors: Freshteh Jafarbeglou, Hamid Ahmadieh, Farnaz Soleimani, Ali Karimi, Narsis Daftarian, Sahba Fekri, Tahmineh Motevasseli, Morteza Naderan, Babak Kamali Doust Azad, Abbas Sheikhtaheri, Farid Khorrami, Hemn Baghban Jaldian, Kia Bayat, Saeideh Shahbazi, Mahdi Yazdanpanah, Tahereh Sabbaghi, Kourosh Sheibani, Hadi Ghattan Kashani, Masoud Shariat Panahi, Hamideh Sabbaghi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Machine learning algorithms
Deep learning architectures
Inherited retinal diseases
Retinitis pigmentosa
Stargardt disease
Online Access:https://doi.org/10.1038/s41598-025-04648-3
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https://doi.org/10.1038/s41598-025-04648-3

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