Literature DB >> 33764255

Artificial Intelligence (AI) Applications for Age-Related Macular Degeneration (AMD) and Other Retinal Dystrophies.

Tatiana Perepelkina1, Anne B Fulton1.   

Abstract

Artificial intelligence (AI), with its subdivisions (machine and deep learning), is a new branch of computer science that has shown impressive results across a variety of domains. The applications of AI to medicine and biology are being widely investigated. Medical specialties that rely heavily on images, including radiology, dermatology, oncology and ophthalmology, were the first to explore AI approaches in analysis and diagnosis. Applications of AI in ophthalmology have concentrated on diseases with high prevalence, such as diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration (AMD), and glaucoma. Here we provide an overview of AI applications for diagnosis, classification, and clinical management of AMD and other macular dystrophies.

Entities:  

Keywords:  AI in ophthalmology; Artificial intelligence (AI); Machine learning; Retinal dystrophies; Stargardt disease

Year:  2021        PMID: 33764255     DOI: 10.1080/08820538.2021.1896756

Source DB:  PubMed          Journal:  Semin Ophthalmol        ISSN: 0882-0538            Impact factor:   1.975


  2 in total

Review 1.  Artificial Intelligence Analysis of Biofluid Markers in Age-Related Macular Degeneration: A Systematic Review.

Authors:  Aidan Pucchio; Saffire H Krance; Daiana R Pur; Rafael N Miranda; Tina Felfeli
Journal:  Clin Ophthalmol       Date:  2022-08-07

2.  Long-term persistence with aflibercept therapy among treatment-naïve patients with exudative age-related macular degeneration in a universal health care system: a retrospective study.

Authors:  Reinhard Angermann; Alexander Franchi; Katharina Frede; Victoria Stöckl; Christoph Palme; Martina Kralinger; Claus Zehetner
Journal:  BMC Ophthalmol       Date:  2022-09-19       Impact factor: 2.086

  2 in total

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