AI-powered effective lens position prediction improves the accuracy of existing lens formulas
AI-powered effective lens position prediction improves the accuracy of existing lens formulas
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Publisher
BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd
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Language
English
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Publisher
BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd
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Contents
AimsTo assess whether incorporating a machine learning (ML) method for accurate prediction of postoperative anterior chamber depth (ACD) improves the refraction prediction performance of existing intraocular lens (IOL) calculation formulas.MethodsA dataset of 4806 patients with cataract was gathered at the Kellogg Eye Center, University of Michigan...
Alternative Titles
Full title
AI-powered effective lens position prediction improves the accuracy of existing lens formulas
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9411905
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9411905
Other Identifiers
ISSN
0007-1161,1468-2079
E-ISSN
1468-2079
DOI
10.1136/bjophthalmol-2020-318321
