Predicting the likelihood of need for future keratoplasty intervention using artificial intelligence-Reference-Cited by-同舟云学术

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Predicting the likelihood of need for future keratoplasty intervention using artificial intelligence

Published:2020-04 Issue:2 Volume:18 Page:320-325
ISSN:1542-0124
Container-title:The Ocular Surface
language:en
Short-container-title:The Ocular Surface

Author:

Yousefi Siamak,Takahashi Hidenori,Hayashi Takahiko,Tampo Hironobu,Inoda Satoru,Arai Yusuke,Tabuchi Hitoshi,Asbell Penny

Funder

Research to Prevent Blindness (RPB), New York, NY

Publisher

Elsevier BV

Subject

Ophthalmology

Reference41 articles.

1. Keratoconus in the medicare population;Reeves;Cornea,2009

2. [Quality of life after corneal transplantation: a retrospective study];Salame;J Fr Ophtalmol,2003

3. Assessment of visual function after corneal transplantation: the quality of life and psychometric assessment after corneal transplantation (Q-PACT) study;Mendes;Am J Ophthalmol,2003

4. Corneal graft rejection;Panda;Surv Ophthalmol,2007

5. Descemet's stripping automated endothelial keratoplasty with anterior chamber intraocular lenses: complications and 3-year outcomes;Ang;Br J Ophthalmol,2014

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1. Utility of artificial intelligence in the diagnosis and management of keratoconus: a systematic review;Frontiers in Ophthalmology;2024-05-17

2. Artificial intelligence – can technology help predict the progression of keratoconus? A systematic review;2024-04-30

3. Künstliche Intelligenz bei lamellierenden Keratoplastiken;Klinische Monatsblätter für Augenheilkunde;2024-03-19

4. Potential applications of artificial intelligence in image analysis in cornea diseases: a review;Eye and Vision;2024-03-07

5. Advancements in keratoplasty: Exploring newer techniques and imaging modalities for enhanced surgical outcomes;Saudi Journal of Ophthalmology;2024-03-01

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