Machine learning-estimated axial length is better than spherical equivalent for identifying higher-risk myopic eyes

Gareth Lingham; James Loughman; Eoin Kerin; Samantha Sze-Yee Lee; David A. Mackey; Siofra Harrington; Kathryn Jill Saunders; Daniel Ian Flitcroft

Machine learning-estimated axial length is better than spherical equivalent for identifying higher-risk myopic eyes

Gareth Lingham, James Loughman, Eoin Kerin, Samantha Sze-Yee Lee, David A. Mackey, Siofra Harrington, Kathryn Jill Saunders, Daniel Ian Flitcroft

Centre for Ophthalmology and Visual Science (affiliated with the Lions Eye Institute)

Research output: Contribution to journal › Abstract/Meeting Abstract › peer-review

1 Citation (Web of Science)

Original language	English
Number of pages	4
Journal	Investigative ophthalmology & visual science
Volume	63
Issue number	7
Publication status	Published - Jun 2022

Cite this

@article{17f01c043c504e4290d01ceb7b1637c9,

title = "Machine learning-estimated axial length is better than spherical equivalent for identifying higher-risk myopic eyes",

author = "Gareth Lingham and James Loughman and Eoin Kerin and Lee, {Samantha Sze-Yee} and Mackey, {David A.} and Siofra Harrington and Saunders, {Kathryn Jill} and Flitcroft, {Daniel Ian}",

year = "2022",

month = jun,

language = "English",

volume = "63",

journal = "Investigative ophthalmology & visual science",

issn = "0146-0404",

publisher = "Association for Research in Vision and Ophthalmology (ARVO)",

number = "7",

}

TY - JOUR

T1 - Machine learning-estimated axial length is better than spherical equivalent for identifying higher-risk myopic eyes

AU - Lingham, Gareth

AU - Loughman, James

AU - Kerin, Eoin

AU - Lee, Samantha Sze-Yee

AU - Mackey, David A.

AU - Harrington, Siofra

AU - Saunders, Kathryn Jill

AU - Flitcroft, Daniel Ian

PY - 2022/6

Y1 - 2022/6

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000844437006102

M3 - Abstract/Meeting Abstract

SN - 0146-0404

VL - 63

JO - Investigative ophthalmology & visual science

JF - Investigative ophthalmology & visual science

IS - 7

ER -

Machine learning-estimated axial length is better than spherical equivalent for identifying higher-risk myopic eyes

Other files and links

Cite this