Intelligent Planning for Laser Refractive Surgeries



Wang, Wei, Yue, Yong, Elsheikh, Ahmed ORCID: 0000-0001-7456-1749 and Bao, Fangjun
(2018) Intelligent Planning for Laser Refractive Surgeries. .

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Abstract

Refractive error is one of leading ophthalmic diseases for both genders all over the world. Laser refractive correction surgery, e.g., laser in-situ keratomileusis (LASIK), has been commonly used worldwide. The prediction of surgical parameters, e.g., corneal ablation depth, depends on the doctor's experience, theoretical formula and surgery reference manual in the preoperative diagnosis. The error of prediction may present a potential surgical risk and complication. Being aware of the surgery parameters is important because these can be used to estimate a patient's post-operative visual quality and help the surgeon plan a suitable treatment. Therefore, in this paper we discuss data mining techniques that can be utilized for the prediction of laser refractive correction surgery parameters. It can provide the surgeon with a reference for possible surgical parameters and outcomes of the patient before the laser refractive correction surgery.

Item Type: Conference or Workshop Item (Unspecified)
Depositing User: Symplectic Admin
Date Deposited: 04 May 2018 10:27
Last Modified: 19 Jan 2023 06:34
DOI: 10.1088/1742-6596/976/1/012009
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3020922