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AI-based support for optical coherence tomography in age-related macular degeneration.
Mares, Virginia; Nehemy, Marcio B; Bogunovic, Hrvoje; Frank, Sophie; Reiter, Gregor S; Schmidt-Erfurth, Ursula.
Afiliación
  • Mares V; Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
  • Nehemy MB; Department of Ophthalmology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
  • Bogunovic H; Department of Ophthalmology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
  • Frank S; Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
  • Reiter GS; Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
  • Schmidt-Erfurth U; Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Int J Retina Vitreous ; 10(1): 31, 2024 Apr 08.
Article en En | MEDLINE | ID: mdl-38589936
ABSTRACT
Artificial intelligence (AI) has emerged as a transformative technology across various fields, and its applications in the medical domain, particularly in ophthalmology, has gained significant attention. The vast amount of high-resolution image data, such as optical coherence tomography (OCT) images, has been a driving force behind AI growth in this field. Age-related macular degeneration (AMD) is one of the leading causes for blindness in the world, affecting approximately 196 million people worldwide in 2020. Multimodal imaging has been for a long time the gold standard for diagnosing patients with AMD, however, currently treatment and follow-up in routine disease management are mainly driven by OCT imaging. AI-based algorithms have by their precision, reproducibility and speed, the potential to reliably quantify biomarkers, predict disease progression and assist treatment decisions in clinical routine as well as academic studies. This review paper aims to provide a summary of the current state of AI in AMD, focusing on its applications, challenges, and prospects.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Retina Vitreous Año: 2024 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Retina Vitreous Año: 2024 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Reino Unido