Artificial Intelligence and Cataract

Publication type: Book Chapter
Publication date: 2021-04-22
Springer Nature
SJR: —
CiteScore: —
Impact factor: —
ISSN: 25233807, 25233815
Abstract
The use of artificial intelligence for cataract detection, grading and management has been explored in recent years. In this chapter, we review the previous works in this regard, the challenges faced and the potential real-world deployment strategies. Owing to the magnitude of the problem, developments in this field are going to have significant impact on public health policy and healthcare delivery models.
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GOST Copy
Thakur S. et al. Artificial Intelligence and Cataract // Current Advances in Ocular Surgery. 2021. pp. 57-73.
GOST all authors (up to 50) Copy
Thakur S., Goh J. H. L., Tham Y. Artificial Intelligence and Cataract // Current Advances in Ocular Surgery. 2021. pp. 57-73.
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RIS Copy
TY - GENERIC
DO - 10.1007/978-981-16-0634-2_5
UR - https://doi.org/10.1007/978-981-16-0634-2_5
TI - Artificial Intelligence and Cataract
T2 - Current Advances in Ocular Surgery
AU - Thakur, Sahil
AU - Goh, Jocelyn Hui Lin
AU - Tham, Yih-Chung
PY - 2021
DA - 2021/04/22
PB - Springer Nature
SP - 57-73
SN - 2523-3807
SN - 2523-3815
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2021_Thakur,
author = {Sahil Thakur and Jocelyn Hui Lin Goh and Yih-Chung Tham},
title = {Artificial Intelligence and Cataract},
publisher = {Springer Nature},
year = {2021},
pages = {57--73},
month = {apr}
}