Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence | Zendy

Ursula SchmidtErfurth | Zendy; Sebastian M. Waldstein | Zendy; Sophie Klimscha | Zendy; Amir Sadeghipour | Zendy; Xiao Hu | Zendy; Bianca S. Gerendas | Zendy; Aaron Osborne | Zendy; Hrvoje Bogunović | Zendy

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Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence

Author(s) -

Ursula SchmidtErfurth,

Sebastian M. Waldstein,

Sophie Klimscha,

Amir Sadeghipour,

Xiao Hu,

Bianca S. Gerendas,

Aaron Osborne,

Hrvoje Bogunović

Publication year - 2018

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.18-24106

Subject(s) - macular degeneration , drusen , choroidal neovascularization , ophthalmology , medicine , retinal , retina , optical coherence tomography , retinal pigment epithelium , choroid , pathology , biology , neuroscience

While millions of individuals show early age-related macular degeneration (AMD) signs, yet have excellent vision, the risk of progression to advanced AMD with legal blindness is highly variable. We suggest means of artificial intelligence to individually predict AMD progression.

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