{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T20:59:46Z","timestamp":1792011586322,"version":"4.4.0"},"reference-count":61,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2024,1,16]],"date-time":"2024-01-16T00:00:00Z","timestamp":1705363200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Purpose: The proper selection of an intraocular lens power calculation formula is an essential aspect of cataract surgery. This study evaluated the accuracy of artificial intelligence-based formulas. Design: Systematic review. Methods: This review comprises articles evaluating the exactness of artificial intelligence-based formulas published from 2017 to July 2023. The papers were identified by a literature search of various databases (Pubmed\/MEDLINE, Google Scholar, Crossref, Cochrane Library, Web of Science, and SciELO) using the terms \u201cIOL formulas\u201d, \u201cFullMonte\u201d, \u201cLadas\u201d, \u201cHill-RBF\u201d, \u201cPEARL-DGS\u201d, \u201cKane\u201d, \u201cKarmona\u201d, \u201cHoffer QST\u201d, and \u201cNallasamy\u201d. In total, 25 peer-reviewed articles in English with the maximum sample and the largest number of compared formulas were examined. Results: The scores of the mean absolute error and percentage of patients within \u00b10.5 D and \u00b11.0 D were used to estimate the exactness of the formulas. In most studies the Kane formula obtained the smallest mean absolute error and the highest percentage of patients within \u00b10.5 D and \u00b11.0 D. Second place was typically achieved by the PEARL DGS formula. The limitations of the studies were also discussed. Conclusions: Kane seems to be the most accurate artificial intelligence-based formula. PEARL DGS also gives very good results. Hoffer QST, Karmona, and Nallasamy are the newest, and need further evaluation.<\/jats:p>","DOI":"10.3390\/jcm13020498","type":"journal-article","created":{"date-parts":[[2024,1,16]],"date-time":"2024-01-16T04:56:59Z","timestamp":1705381019000},"page":"498","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["A Review of Intraocular Lens Power Calculation Formulas Based on Artificial Intelligence"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3919-8339","authenticated-orcid":false,"given":"Wiktor","family":"Stopyra","sequence":"first","affiliation":[{"name":"MW-Med Eye Centre, 31-416 Krakow, Poland"},{"name":"Department of Medicine, University of Applied Sciences, 34-400 Nowy Targ, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8126-853X","authenticated-orcid":false,"given":"David L.","family":"Cooke","sequence":"additional","affiliation":[{"name":"Great Lakes Eye Care, Saint Joseph, MI 49085, USA"},{"name":"Department of Neurology and Ophthalmology, College of Osteopathic Medicine, Michigan State University, East Lansing, MI 48824, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3724-2391","authenticated-orcid":false,"given":"Andrzej","family":"Grzybowski","sequence":"additional","affiliation":[{"name":"Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, 61-553 Poznan, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.ophtha.2018.07.009","article-title":"Evaluating refractive outcomes after cataract surgery","volume":"126","author":"Aristodemou","year":"2019","journal-title":"Ophthalmology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2981","DOI":"10.1177\/1120672120980690","article-title":"Intraocular lens power calculation formula accuracy: Comparison of 12 formulas for trifocal hydrophilic intraocular lens","volume":"31","author":"Flikier","year":"2021","journal-title":"Eur. 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