Machine learning adaptation of intraocular lens power calculation for a patient group

Machine learning adaptation of intraocular lens power calculation for a patient group

Abstract Background To examine the effectiveness of the use of machine learning for adapting an intraocular lens (IOL) power calculation for a patient group. Methods In this retrospective study, the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IO...

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Bibliographic Details
Main Authors: Yosai Mori, Tomofusa Yamauchi, Shota Tokuda, Keiichiro Minami, Hitoshi Tabuchi, Kazunori Miyata
Format: Article
Language:English
Published: BMC 2021-11-01
Series:Eye and Vision
Subjects:
Machine learning
Adaptation
Intraocular lens power calculation
Patient ethnicity
Patient race
Region of patient
Online Access:https://doi.org/10.1186/s40662-021-00265-z

Internet

https://doi.org/10.1186/s40662-021-00265-z

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