Enhancement of Optical Coherence Tomography Images Using Adversarial Neural Networks: Impacts on Ophthalmic Practice
AI-enhanced OCT images, particularly those processed with GANs, can significantly improve the clarity and detail of retinal images, which may aid in more precise diagnostics. Despite the positive feedback, the variability in perceived clinical utility suggests that AI integration should be approached cautiously. Training and experience in using AI tools are crucial, and further research with larger samples and diverse clinical settings is needed to better understand AI's impact on clinical practice and its cost-benefit ratio. Future studies should explore the comparative efficacy of different AI algorithms and their potential to enhance diagnostic accuracy and patient outcomes.
Authors
- José Silvestre Silva (ORCID: https://orcid.org/0000-0001-7529-6422)
- Brena Fernanda S Carvalho (ORCID: https://orcid.org/0009-0009-8531-2225)
- Fernando Korn Malerbi (ORCID: https://orcid.org/0000-0002-6523-5172)
- Luis Filipe Nakayama (ORCID: https://orcid.org/0000-0002-6847-6748)
- Rafael Scherer
- Francisco Wenderson Pereira de Souza
- Fabiana da Costa Teixeira (ORCID: https://orcid.org/0000-0002-9227-0598)
- Caio Vinicius S Regatieri
- V. Nunes
- Alexandre Antônio Marques Rosa (ORCID: https://orcid.org/0000-0001-5496-9704)
Institutions
- Universidade Federal do Rio de Janeiro (BR)
- University of Miami (US)
- Universidade Federal do Pará (BR)
- Universidade Federal do Estado do Rio de Janeiro (BR)
- Universidade Federal de São Paulo (BR)
Publication Details
- Journal
- Cureus
- Published
- 2025-09-28
- DOI
- https://doi.org/10.7759/cureus.93423
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00