The use of neural networks to determine factors affecting the severity and extent of retinopathy in preterm infants
The findings of this study contribute to the advancement of ROP screening and treatment strategies in preterm neonates. Future research should focus on multi-center studies with larger sample sizes to refine predictive models and identify additional risk factors influencing ROP progression.
Authors
- Seyed Ali Fatemi Aghda (ORCID: https://orcid.org/0000-0002-4099-1879)
- Azam Kheirdoust (ORCID: https://orcid.org/0000-0003-1593-1900)
- Narges Norouzkhani (ORCID: https://orcid.org/0000-0001-9734-9126)
- Mohammad Reza Mazaheri Habibi (ORCID: https://orcid.org/0000-0001-8096-2530)
- Bahareh Imani
- Elham Nazari (ORCID: https://orcid.org/0009-0000-8452-2946)
- Azadeh JafariMoghadam
Institutions
- Iran University of Medical Sciences (IR)
- Mashhad University of Medical Sciences (IR)
- Shahid Sadoughi University of Medical Sciences and Health Services (IR)
- Kerman University of Medical Sciences (IR)
- Varastegan Institute for Medical Sciences
- Shahid Beheshti University of Medical Sciences (IR)
Publication Details
- Journal
- International Journal of Retina and Vitreous
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1186/s40942-025-00650-z
- Primary Topic
- Retinopathy of Prematurity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00